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20 Dec 2025 Job Information Organisation/Company King's College London Research Field Computer science Engineering Mathematics Physics Chemistry Researcher Profile Recognised Researcher (R2) First
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The Centre for Machine Learning located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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receive training and skills in some of the following: meta-barcoding, stable isotope analysis, trophic-web analysis, Bayesian statistics, wet-lab experimentation – respirometry, fieldwork. Previous
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 170182 Is the Job related to staff position within a Research Infrastructure? No Offer Description Support for research
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Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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, stable isotope analysis, trophic-web analysis, Bayesian statistics, wet-lab experimentation – respirometry, fieldwork. Previous experience in any of these areas is useful but not essential. Diving
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deemed to have the ability otherwise required to successfully complete the program. General Qualifications Applicants must hold a university degree at an advanced level of at least 240 credits (ECTS
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. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics
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of Bayesian computational statistics as part of the EPSRC funded ‘PINCODE' project (EP/X028712/1), under the clear guidance of Prof. Murray Pollock and Prof Hongsheng Dai. Work closely with other members