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Tropical Diseases Modelling Network (TDModNet)

July 27, 2011 in Uncategorized

Tropical Diseases Modelling Network (TDModNet)

TDModNet is a new network for mathematical modellers and their collaborators based in the tropics and working on tropical infectious diseases. There are members with a range of research experience (from graduate student to professor) and expertise (mathematicians, biologists, epidemiologists, malariologists, policy makers, geneticists, bioinformaticists, clinicians). The aim is to provide a forum to build mathematical modelling capacity in the developing world in a self-sufficient way by exploiting the pre-existing structure of the network members.

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Research Assistant or Research Associate in mathematical modelling / bioinformatics

August 22, 2016 in Job, News, postdoc

MORU

Research Assistant or Research Associate in mathematical modelling / bioinformatics, (Bangkok)

Position available:  Research Assistant or Research Associate

Tenure: One year contract including a 2-month probationary  period with a possibility of extension and of registering for a PhD programme.

Background

The Mahidol Oxford Tropical Medicine Research Unit (MORU) is collaboration between Mahidol University (Thailand), Oxford University (UK) and the UK’s Wellcome Trust. MORU’s main office and laboratories are located within the Faculty of Tropical Medicine at Mahidol University in Bangkok, Thailand, with study sites and collaborations across Thailand, Asia and Africa. A major theme of our research is antimicrobial resistance. We are conducting detailed studies on how antimicrobial resistance spreads looking at bacterial infections occurring in hospitalised patients and those treated in the community. This work involves close collaboration with research groups in other countries in SE Asia.

We  are  seeking  a research  assistant  or research  associate  (depending  on  experience)  with  a BSc  or other advanced degree in a subject with a strong mathematical  component  to work on the analysis of epidemiological and sequence data from these studies.

Job summary

The researcher will be based in our Mathematical and Economic MODelling research group (MAEMOD) in Bangkok with the possibility of spending some time with our collaborators in Ho Chi Minh City, Viet Nam.

The post-holder will be responsible  for learning and using mathematical  modelling techniques for the analysis of data from studies  of the spread  of drug-resistant  bacteria  from SE Asia. The work will involve  both using and writing computer software to analyse DNA sequence and epidemiological  data and writing scientific reports.

Key Responsibilities  & Tasks

Learn mathematical modeling, and relevant biostatistical and bioinformatics techniques. Analyse epidemiological  and sequence data.

Contribute to further developing methodologies  for the analysis of epidemiological  and sequence data. Contribute to other methodological  projects led by MAEMOD.

Write Scientific reports.

Qualifications  & Profile

  • BSc or other advanced degree in a subject with a strong mathematical component (eg. mathematics, applied mathematics, physics, statistics)
  • University level calculus
  • A good understanding of probability
  • Experience of computer programming
  • Highly motivated
  • Interest in applying mathematical techniques to biological systems
  • Analytical problem-solving  skills, willingness  to learn, initiative,  attention  to detail and good at working in a team
  • Keen on self-development
  • IELTS equivalent 6.5

How to apply

Interested applicants, please submit your application with detailed resumé to:  phung@tropmedres.ac  no later than 16th September 2016.

Mahidol-Oxford  Tropical Medicine Research Unit (MORU) Faculty of Tropical Medicine, Mahidol University 420/6 Rajvithi Road, Bangkok  10400

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Africa- Oxford (AfOx) travel grants

August 1, 2016 in Grants

http://www.tropicalmedicine.ox.ac.uk/afox-travel-grant

Africa- Oxford (AfOx) travel grants to support establishment of new collaborations between Africa and Oxford for research or teaching related to health and biomedical sciences.

AfOx is a cross university platform to support the development of equitable collaborations in research and teaching between staff at African institutions and collaborators in Oxford.

The current round of AfOx travel grants supports visits between potential collaborators in African institutions and their colleagues in Oxford, with a view to developing new collaborations around research or teaching in the areas of health or biomedical sciences. The call will be interpreted in the broadest sense and applications involving staff from all divisions of the university are encouraged.

The grant can be used to cover costs of travel (in either direction i.e. Oxford staff to an African institution or vice versa), accommodation and incidental expenses to a maximum of £5000 (it is anticipated that visits in general will be for periods between 1-8 weeks). Applications are made jointly between a member of staff at Oxford and a potential collaborator in an African institution (the travel award may cover more than two people and additional individuals should be named under purpose of the grant). The overarching aim of the scheme is to foster the development of new collaborations and the scheme is not intended to be used as alternative support for already established collaborations. Administration of the award will be the responsibility of the home department of the Oxford applicant. The application will be reviewed and receive feedback within 7 days. Applicants will be required to submit a brief report within one year of the award to give details of outputs (new collaborations, funding applications etc.) arising from the collaborative visit.

Please email afox@ndm.ox.ac.uk in regards to any queries you have.

 

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EPIGENOMICS OF COMMON DISEASES

July 14, 2016 in workshop

Epigenomics of Common Diseases: Registration Open

EPIGENOMICS OF COMMON DISEASES

1-4 November 2016

Wellcome Genome Campus, Hinxton, Cambridge, UK

Registration Open

We are pleased to announce that registration is now open for the 6th Epigenomics of Common Diseases conference. This meeting will bring together leading scientists from the fields of epigenomics, genetics and bioinformatics to discuss the latest developments in this fast-moving area.

The programme will focus on epigenomic studies across of a wide range of common and other diseases including cancer, and will include approaches from a variety of different disciplines. It will explore technological and methodological developments and provide a forum to present and discuss recent advances in epigenomics of relevance to human disease. For further details, visit the conference website.

Topics will include:

  • Epigenomics of disease
  • Epigenetics in neuro-psychiatric disorders
  • Cancer epigenetics
  • Epigenetics of ageing
  • Nutritional epigenetics
  • Trans-generational epigenetic inheritance
  • Computational epigenomics
  • Population epigenetics
  • Clinical epigenetics
  • Single cell epigenetics
  • Informatics and technology

 

A limited number of bursaries are available for PhD students to attend this meeting. We welcome abstracts from all areas relevant to epigenetic and epigenomic research. Several oral presentations will be chosen from the abstracts submitted.

Scientific programme committee
Edith Heard (Institut Curie, France)
Doug Higgs (University of Oxford, UK)
Caroline Relton (University of Bristol, UK)
Art Petronis (University of Toronto, Canada)

Keynote speakers
Anne Ferguson-Smith (University of Cambridge, UK)
Oliver Rando (UMass Medical School, USA)

Confirmed speakers
Schahram Akbarian (Icahn School of Medicine at Mount Sinai, USA)
Stephan Beck (UCL Cancer Institute, UK)
John Chambers (Imperial College London, UK)
Bill Cookson (Imperial College London, UK)
Manel Esteller  (IDIBELL, Spain)
Daniele Fallin (Johns Hopkins Bloomberg School of Public Health, USA)
Andre Fischer (Georg-August-University, Gottingen, Germany)
Anna Gloyn (University of Oxford, UK)
Ivo Gut (CNAG-CRG, Spain)
Petra Hajkova (MRC Clinical Sciences Centre, UK)
Peter Jones (Van Andel Research Institute, USA)
David Katz (Emory University, USA)
John Marioni (EMBL-EBI, UK)
Stefan Mundlos (Charité Universitätsmedizin Berlin, Germany)
John Pospisilik (Max Planck Institute of Immunobiology and Epigenetics, Germany)
Wolf Reik (Babraham Institute, UK)
David Ruff (Fluidigm Corporation, USA)
Julian Sale (MRC Laboratory of Molecular Biology, UK)
Nicole Soranzo (Wellcome Trust Sanger Institute, UK)
Francois Spitz (Institut Pasteur, France)

Dates for your diary
Bursary deadline: 6 September

Abstract deadline: 20 September
Registration deadline: 4 October

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Jobs: More opportunities in London

July 6, 2016 in Job, News, postdoc

Four new post-doctoral positions are available within the Malaria Modelling group in the MRC Centre for Outbreak Analysis & Modelling at Imperial College London. Details for each position can be found in the links below. Successful applicants will join a large and dynamic group using models to consider how interventions  can be optimally combined to reduce transmission and ultimately lead to malaria elimination (see www.imperial.ac.uk/malariamodelling).

Candidates should hold or expect to receive a PhD in a relevant discipline (e.g. infectious disease epidemiology, population biology, mathematics, statistics, theoretical physics, computer science).  Experience in infectious disease modelling is desirable but not essential. We are particularly keen to attract candidates with experience in statistical inference in an applied context.

BMGF-funded Malaria Modelling positions (x2): http://www.jobs.ac.uk/job/AOB123/research-assistant-associate/

BMGF-funded Target Malaria (gene-drive): http://www.jobs.ac.uk/job/AOB236/research-assistant-associate/

NIH-funded: Spatial modelling of malaria in DRC: http://www.jobs.ac.uk/job/AOB150/research-associate/

The closing date is the end of this month (July 2016).

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Mathematical Modeller at PHE

July 4, 2016 in Job, News

https://www.jobs.nhs.uk/xi/vacancy/5bab11217ed2a62cd6ec79236cdf064c/?vac_ref=914237053

Public Health England (PHE) is an executive agency of the Department of Health providing; strategic leadership, research, advice and support for Government, local authorities and the NHS in protecting and improving the nation’s health.

Please note that if the pay scheme is listed as ‘Other’, the post advertised will be subject to Public Health England / Civil Service Terms and Conditions of employment unless otherwise stated.

IMPORTANT – PLEASE READ
This is a Non Reserved post under the Civil Service Nationality Rules and is therefore open to UK, Commonwealth and European Economic Area (EEA) Nationals and certain non EEA members. For more information please refer to the supporting documents detailing the Civil Service Nationality Rules.

As an applicant for this role, you are urged to demonstrate within your supporting statement a combination of evidence that reflects your competence to meet the job specification and provide examples of how the PHE Charter is an integral part of the way you have and will continue to deliver service.

For posts on Civil Service terms and conditions, on appointment the starting salary is normally the minimum point (see salary range above). This will be dependent on the successful candidate’s current salary and terms and/or equivalent experience. The Civil Service pay structure and progression is different from NHS Agenda for Change, most local authority pay grades and other systems which have annual pay increments. Salary increases are awarded based on performance assessed through the annual appraisal cycle. The amount payable is determined by the annual Civil Service ‘Pay Remit’. This is currently 1% of the pay budget.

The Civil Service embraces diversity and promotes equality of opportunity. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission’s recruitment principles (attached as a supporting document).


An exciting opportunity has arisen for a mathematical modeller to develop innovative, data-driven models in the field of antibiotic resistance and to use these models to evaluate control strategies in order to inform policy in this high priority area. There are few public health issues currently of greater importance than antimicrobial resistance in terms of impact on the health of society. The rise in AMR bacteria, coupled with a lack of existing antibiotics (and with none expected in the near future) means that the number of infections that are untreatable is ever increasing. In 2011 the Chief Medical Officer recommended that antibiotic resistance be put on the government’s national risk register of civil emergencies, while the World Health Organization has stated that resistance to antibiotics could bring “the end of modern medicine as we know it”.

This post will contribute to the innovative research required to identify and rigorously evaluate solutions, in order to inform health policy. The research conducted by the post-holder will improve our understanding of AMR development, transmission and control in hospital and community populations. The research will be expected to provide practical and clinically relevant insights to directly inform national policy.

The post-holder will gain valuable experience working closely with policy colleagues at PHE, the Department of Health, as well as in a multi-disciplinary environment of clinicians, epidemiologists, microbiologists, modellers, economists, statisticians and bioinformaticians at PHE and collaborating institutions.

This post provides an ideal opportunity to gain experience in infectious disease research to inform policy, in a particularly high profile, high priority area. While the post will be part of the AMR Programme the post holder will sit within the Modelling and Economics Unit of PHE’s Centre for Infectious Disease Surveillance and Control (CIDSC) in Colindale, in NW London. CIDSC is an internationally-renowned centre of excellence for expertise, reference and research, surveillance and epidemiology in relation to human health. It is an excellent place to conduct public health research that can help shape policy both nationally and internationally.

We are seeking an able modeller with proven high-level skills in data analysis and interpretation and an interest in infectious disease epidemiology or public health. Experience in handling multiple complex datasets and/or using surveillance data would be a distinct advantage. The application deadline for this post is July 10th, 2016, with interviews taking place on July 14th, 2016.

Applicants who are invited for interview will be asked to give a 5-minute presentation explaining how they meet the selection criteria. Applicants are very strongly advised to use the criteria in the person specification at the end of this document as sub-headings in their application to make it clear how they meet each of the selection criteria.

PHE Colindale’s modern purpose built centre is well equipped and provides excellent Library, Occupational Health and Refectory facilities. There is also a Gym on site.

Stage 4 vacancy

Open to all external applicants (anyone) from outside the Civil Service (including by definition internal applicants).

Appointment to this post is on PHE terms and conditions of service. Only previous continuous service in the Civil Service is recognised for contractual purposes.

If you wish to discuss this post then please contact Dr Julie Robotham (julie.robotham@phe.gov.uk).


Only those applicants who demonstrate clearly how they meet our person specification will be shortlisted for interview. If you have not been contacted within 4-6 weeks of the closing date please assume you have not been shortlisted for the next stage.

Interview expenses will not normally be paid but will be paid in exceptional circumstances in agreement with the Deputy Director of HR.

If you are attending for interview where a nursing registration is required please ensure you bring with you evidence of progress with your revalidation portfolio. You will be required at interview to show you are up to date with each requirement.

PHE is required to check employment and/or education history covering three consecutive years. Please therefore supply referees (with email addresses) to cover this period. Additional documentation such as P60s may be required as evidence. You MUST give details of at least two different referees, even if you were employed in one company for three years or more

For more information please go to the PHE website.

 

 

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