Research Associate in Bayesian Models for Synthetic Trials
School of Mathematics and Statistics,
The University of Sheffield
Ref UOS024845
Fixed term until July 2022
Grade 7, £31,866 - £40,322 per annum
Closing Date: 8 January 2020
A Research Associate position is available as part of the €5M, H2020 EU funded STriTuVaD project (https://www.strituvad.eu), focused on developing computational modelling techniques to provide in-silico augmented clinical trials for Tuberculosis (TB) vaccination development.
The role will specifically contribute through the development and implementation of a coherent Bayesian framework combining information from Phase II clinical trials with in-silico data from a bespoke agent-based simulator of the immune system.
Travel to some project partners is anticipated, you will therefore have excellent communication and engagement skills and be capable of working with researchers and software developers from a diverse background. You will hold a PhD in a relevant discipline (or have equivalent experience), with demonstrable expertise in statistical modelling, with special emphasis on hierarchical Bayesian models.
Visit https://tinyurl.com/uncdj6f for further details and how to apply. Informal enquiries to Dr Miguel Juarez ([log in to unmask]) are encouraged.
The School of Mathematics and Statistics at the University of Sheffield has a strong research ethos and an international reputation in research, with research groups in Algebra and Algebraic Geometry, Differential Geometry, Fluid Dynamics, Mathematical Biology and Environment, Number Theory, Particle Astrophysics and Gravitation, Probability, Solar Physics, Statistics, and Topology. There are also fruitful interdisciplinary links across the University.
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