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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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liquid and solid-state electrolytes using artificial intelligence, under the guidance of a supervisor. The successful candidate will contribute to projects involving the synthesis, physical and chemical
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of the Candidate: Completed a PhD in engineering, applied physics, applied mathematics, or a related field. Strong quantitative skills and modeling Advanced coding skills Fluent (oral and writing) in English Enjoys
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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or publications. Qualifications All required qualifications must be documented on application materials. Required Qualifications PhD in biological science and/or bioinformatics or computational biology. Knowledge
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, stem cell biology, and colon cancer. Position Status Full Time Posting Number 26FA0353 Posting Open Date 04/14/2026 Posting Close Date Qualifications Minimum Education and Experience PhD training is
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Requirement: A PhD or equivalent degree in a biomedical science-related field. Required Qualifications: A minimum of five years of postdoctoral training in basic and/or translational vascular biology
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partners, and participation in project meetings and dissemination activities Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Materials Science, Applied Physics
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: PhD degree in physics. Experience in experimental research on superfluids. Mastering of micro and nanofabrication techniques. Knowledge of optomechanical and nuclear magnetic resonance techniques is
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(guillaume.berionni [@]unamur.be) until April 15th, 2026. Selection process Presentation of PhD work (30 min) followed by oral interview (60 min) by two members of the chemistry department in April / May 2026. Soon to