498 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions in United Kingdom
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workflows to predict MoSS formation. The successful candidate will be involved in the supervision of a PhD student during the duration of the position and will have significant of opportunities for career
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network events and undertake research placements within this project. You will have a PhD in Physical Sciences or a closely related field, and you will have a background in the modelling of molecular
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data analysis and modelling on this project. Specifically, advanced imaging processing skills, which will allow them to develop and validate algorithms for combination of multiparametric / multi-scale
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research skills, and deliver seminars relating to the research area. The successful candidate should possess a PhD in Applied Analysis of Geophysical Fluid Models. Limit of tenure: 1 year in the first
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interests, relevant experience, and fit for the position (1–2 pages) List of publications (+ highlight top 3 publications) Contact information for 2 academic referees Research statement or sample publication
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The position of Assistant Director and Postdoctoral Researcher at the Calleva Research Centre at Magdalen College, is available with effect from 1 October 2026 or as soon as possible thereafter
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amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
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. The research undertaken includes the interpretation of collider data and theory support for LHC phenomenology and future colliders. The Research Associate will be working on beyond the Standard Model
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-motivate and self-direct the development of appropriate modelling frameworks is a key element of the role. Skills, Experience & Qualification needed PhD in a relevant subject (mathematics or mathematically
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social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety