678 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions in United Kingdom
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of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted
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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in Humanities or
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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the Durham area on our Why Join Us? - Information Page The Role and Department The successful candidate for this Research Associate position will join the Department of Engineering at Durham University
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security screening before you can commence in the role. About you The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in
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interferometric scattering into an even more powerful tool in all areas of life sciences. Applicants for this position must hold a PhD in Chemistry or relevant subject area, (or be close to completion) prior
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, to support the development of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to contribute to the development, optimisation and implementation
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). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine learning emulators of multiple ice sheet and glacier models, using ensembles
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(EPSRC) and the Economic and Social Research Council (ESRC). The position would be suitable for an experienced PDRA or a near completed PhD writing up or undertaking post-viva corrections. Climate change
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve