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. Funding Notes Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Applicants can also apply for a scholarship from the University
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single‑cell omics, AI machine learning, and translational biology. The role involves collaboration with academic research group(s), with a strong focus on bridging advanced computational methods
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. The subject of the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History ( https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in
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(specializing in Strategic Management: https://strategy.univie.ac.at/phd/ ) envisaged starting date: 15 June 2026 (for a total duration of 4 years; Initially limited to 1.5 years, the employment relationship is
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of Cambridge; https://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield, School of Computer Science). Are you passionate about uncovering the brain mechanisms that support adaptive
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application at https://careers.software.imdea.org/ . Choose option PhD Student and use reference code 2026-01-phd-ossec. The recruitment process follows IMDEA Software Institute’s OTM-R Policy (Open
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
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of Adjunct instructor to teach in the PhD program in the 2026/2027 academic year. This position, in conjunction with three other faculty, will teach a portion of the PhD course "Emerging Topics in Operations
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 11 days ago
will focus on the following main tasks: 1) Machine-learn optimal reaction coordinates for the barnase-barstar complex, starting from ~0.1 millisecond high-dimensional MD (generated by a previous PhD