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Field
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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will be affiliated with the Institut Camille
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for all aspects of statistical input into IHTM research projects, including study design, data handling, statistical analysis, interpretation of result. It is essential that you hold a relevant PhD/DPhil in
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courses in (mathematical) statistics. In addition, you can take on a mentoring role by supervising bachelor or master theses related to the subject of this PhD. WHAT WE CAN OFFER YOU We offer a full-time
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. The Prob_AI hub will focus on probabilistic AI, and bring researchers with skills across areas such as Bayesian and Computational Statistics, Dynamical Systems, Numerical Analysis, PDES, Probability, Stochastic
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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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post, you will hold a PhD or be close to completion, in epidemiology, medical statistics or a closely related field. You will also have experience in handling large and complex longitudinal datasets with
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date: 14 June 2024 We are seeking two Postdoctoral Research Associates to work in the marine modelling group of the Department of Mathematics and Statistics. The successful candidates will join our team
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to support the development and delivery of online teaching. With a PhD, or equivalent experience, in Statistics or Computing, or a closely related discipline such as Mathematics, you will have a demonstrable
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of online teaching. With a PhD, or equivalent experience, in Statistics or Computing, or a closely related discipline such as Mathematics, you will have a demonstrable ability to teach Statistics or Data