Modelling job opportunities

Big Data Institute, Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford is looking for a postdoc with strong skills in quantitative epidemiology and an interest in doing primary data collection and fieldwork. Please click the link https://tinyurl.com/y3knt7mw for further information ...
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Our pharmacometrics group is looking for bright and motivated candidates to join our modelling team within the Division of Clinical Pharmacology at the University of Cape Town. Pharmacometrics is an emerging discipline that uses mathematical and statistical tools to quantify drug, disease, and trial information to aid efficient drug development and/or regulatory decisions. It designs and applies mathematical models to describe the relationship between drug exposure (pharmacokinetics) and response (pharmacodynamics) for both desired and undesired effects, and aims to include in such models the effects of individual patient characteristics. Our group has established PK/PD modelling expertise in the disease areas of tuberculosis, HIV, and malaria. It is active internationally and enjoys on-going collaborations and exchange programs with some of the main pharmacometric research groups worldwide. Scholarships at both PhD student and postdoc level are available, please refer to the links below for more details. PhD student - https://bit.ly/2EqxntU Postdoc - https://bit.ly/3j88zWC To apply, or for any further information, please contact pharmacometrics@uct.ac.za and send your CV with references and a letter of motivation. The application deadline is September 30th 2020. However, enquiries regarding future positions are welcome. Bonus perk of the job: you get to save on your flight and accommodation to attend the World Conference on Pharmacometrics 2022 - https://wcop2020.org/ ...
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MMV is offering a 3 year post-doc position (https://www.mmv.org/about-us/work-us/jobs#op-395680-pkpd-translational-medicine-scientist-postdoc-fellowship) Defeating Malaria Together | www.mmv.org ...
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Three postdoctoral fellowships (Ph.D. within the last 3 years) are opened within the scope of the research unit “Center for Mathematics and Applications” (CMA), financed by “Fundação para a Ciência e a Tecnologia, I.P.” (ref. UIDP/00297/2020 and UIDB/00297/2020). For further details please check the following links: Statistics: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=124327 Operational Research: http://www.eracareers.pt/opportunities/index.aspx?task=showAnuncioOportunities&jobId=124626&idc=1 Mathematical Analysis: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=124625 ...
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The Norwegian Institute of Public Health (NIPH) is seeking a talented researcher with strong quantitative skills to join the Department of Infectious Disease Epidemiology and Modelling. The department is part of the Division of Infection Control and Environmental Health, and collaborates closely with NIPH’s research Centre for Antimicrobial Resistance (AMR-Centre). We are also a partner in BigInsight , a centre for research-based innovation within statistical and machine learning technologies, supported by the Research Council of Norway. The position offers the opportunity to work at the intersection of infectious disease epidemiology, mathematical modelling and statistics (3 years contract). We have ongoing research relating to development of network models, individual-based models to analyse the spread of antimicrobial resistance, and age-structured meta-population models for use in preparedness planning in Norway. The particular focus of the post doc will be determined according to the interests and background of the candidate We offer the opportunity to conduct cutting-edge quantitative research within infectious diseases using novel and rich data sources. NIPH’s laboratory diagnostics increasingly rely on genomic information and we want to further develop and expand our analytical competence to use available data sources to their full potential. The position holder will be part of a dynamic department of around 20 researchers from diverse academic and professional backgrounds, including statistics, bioinformatics, modelling and epidemiology. The Norwegian Institute of Public Health is a Public agency and national competence institution for governmental authorities, health services and the general population. The aim of our research is to evaluate and ...
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An excellent opportunity has arisen for a Research Associate to join research teams based within Bristol Veterinary School and School of Cellular & Molecular Medicine at the University of Bristol. The post is available on a full-time basis (although part-time will be considered) with funding until April 2021 via MRC OH-DART grant. You will join an international multidisciplinary team working of microbiologists, mathematical modellers, epidemiologists, veterinarians and social scientists from UK and Thailand. You will undertake mathematical modelling and epidemiological analyses focused on describing complex One Health systems of the drivers of antimicrobial resistance in the environment, in animals and in humans in Thailand. You will develop technical aspects of modelling and epidemiological analyses and will collaborate with other modellers and epidemiologists in this team. You will also work closely with the experts in policy analysis to develop online tools for decision makers based on the complex models (e.g. in R Shiny) and with your Thai counterpart and the rest of the multidisciplinary team. You will need a strong mathematical background with preferably a PhD degree in a relevant quantitative subject. We are looking for an applicant with experience in infectious disease mathematical modelling and computational analysis. You must have experience of developing and programming dynamical models (in C or R, or similar), the ability to design and analyse large scale modelling experiments involving data and uncertainty. You will need excellent communication and project management skills to ensure delivery as well as skills in reviewing the non-modelling literature and undertaking ...
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Dr Thomas Prowse and I have a top-up scholarship available to work on a project Modelling Multi-strain RHDV Dynamics in Exotic Rabbits. This is an exciting project that will focus on developing methods for fitting stochastic, multi-strain, coupled ecological-epidemiological models to spatio-temporal data, and, using one of the best available time-series datasets in disease ecology, will address applied questions in rabbit biocontrol.   The Centre for Invasive Species Solutions (CISS, https://invasives.com.au/) will support the PhD student with $10k per annum in top-up to their RTP scholarship, $7k per annum for operating expenses, and additional support to attend training courses and conferences. Through CISS, the student will also be mentored by leading applied researchers and modellers from across Australia.   Applicants would need to be successful in their application for a PhD project and RTP scholarship in the School of Mathematical Sciences at the University of Adelaide. If you are interested, then please contact me (joshua.ross@adelaide.edu.au) or Thomas (thomas.prowse@adelaide.edu.au) for further information ...
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An exciting opportunity to work on a collaborative project exploring regionally coordinated strategies to prevent the dissemination of antimicrobial resistance (AMR) through the Victorian healthcare system. This project will link Victorian patient admission datasets with existing and prospectively collected genomic microbiologic data through applying network analysis and modelling methods to characterise and simulate intra- and inter-hospital 'patient movement networks'. As part of the research team you will help to describe the role of shared patient populations as 'bridges' between hospitals via which AMR can spread and explore how a detailed understanding of these referral networks can translate to effective and efficient policy decisions. http://careers.pageuppeople.com/513/cw/en/job/587166/research-fellow-infectious-diseases-network-analysis-and-modelling https://www.seek.com.au/job/38344039?searchrequesttoken=2c678f9c-6dac-41f5-ba75-171aad0b0d1e&type=standard ...
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Two vacancies for infectious disease modellers working on AMR in the Modelling & Economics Unit, Public Health England Durations: one permanent; one 1-year Salary: minimum £38,975 Closing dates: 6 Mar 2019 (permanent post); 7 Mar 2019 (1-year post) Details (if the links don’t work then please copy in to a browser): Permanent post: https://www.healthjobsuk.com/job/v1563452 Post until 31 Mar 2020: https://www.healthjobsuk.com/job/v1576074 Most members of the Modelling & Economics Unit have honorary positions with leading universities (mostly LSHTM and Imperial College); similar arrangements can be explored with the post holder. For further information please contact julie.robotham@phe.gov.uk Dr Peter J White PhD *Head, Modelling & Economics Unit, National Infection Service, Public Health England *Reader in Public Health Modelling, Dept. of Infectious Disease Epidemiology, Imperial College London (p.white@imperial.ac.uk) *Deputy Director, NIHR Health Protection Research Unit in Modelling Methodology *Personal webpage: www.imperial.ac.uk/medicine/people/p.white MRC Centre for Global Infectious Disease Analysis (formerly Centre for Outbreak Analysis & Modelling), Department of Infectious Disease Epidemiology, Imperial College School of Public Health, Norfolk Place, London, W2 1PG, United Kingdom ...
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Influenza dynamics at the animal-human interface in relation to swine production systems in Cambodia Principal supervisor: Dr James Rudge (LSHTM) Co-Supervisor: Dr Guillaume Founié (RVC) Co-Supervisor: Prof Graham Medley (LSHTM) Award includes tuition fees and a stipend of £16,777 including London Weighting (at 2018/19 rates, so slightly higher for 2019 entry) 100% FTE for 3 years, from September 2019. Closing date for applications is: 31st March 2019 Project Description: Influenza pandemics evolve undetected in animal hosts for several years before detection in humans, and the role of swine in the 2009-H1N1 pandemic is well documented. However, little is known about the ecology and evolution of influenza viruses in pigs, particularly in Southeast Asia, where surveillance is limited, and conditions are fertile for virus re-assortment and pandemic emergence. Consumption and production of livestock in this region has increased dramatically in recent years, with livestock systems undergoing rapid change. The implications for zoonotic and pandemic disease emergence remain unclear but are likely to be profound. In Cambodia, for example, the supply of pigs still relies largely on smallholders with low biosecurity, along with importation of pigs from neighbouring countries. However, numbers of larger-scale intensive farms are increasing, and often located in close proximity, or otherwise connected (e.g. via trading and contract farming), to smallholder systems. A better understanding of influenza dynamics at the swine-human interface is needed to identify where risks of zoonotic transmission and virus re-assortment are highest, and how these risks are influenced by livestock practices. This project will aim to characterise influenza dynamics in ...
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