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alongside computational biology approaches to map epigenetic changes driven by WNT/GSK3 signalling in ESCs. This collaborative project offers access to world-class expertise, state-of-the-art resources, and
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
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for applicants who have obtained their PhD within the past 4 years, have a good publication record, and have proven their expertise on computational electrodynamics and the theory of light–matter interactions
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
Evolution or Computational Biology (salary grade 13 TV-L, 100%) to commence on January 1, 2026. The position will initially be filled for three years. In case of a positive evaluation, the position can be
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research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics or Computer Science obtained
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*) in Bioinformatics, Data-Science or a closely related area such as computer Science, or mathematics * If PhD pending, it must be conferred less than 3 months after closing date. Significant, relevant
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Post-Doctoral Associate in the Division of Social Science - Dr. Morgan Hardy and Dr. Veda Narasimhan
. This is an excellent position for candidates entering the final year of a PhD program who are looking to postpone the formal economics job market and build a strong academic record. The position does not
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. Depending on available funding, one of the positions may be specifically targeted at candidates interested in the scaling regimes of deep networks. Basic Qualifications A PhD is required. We seek candidates
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of organic and inorganic molecules encapsulated inside 2D materials. As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate