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theoretical or computational condensed-matter physics, applied math, computer science, or a related discipline by the appointment start date. The fellowship is a full-time 12-month appointment with
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Framework Programme? Not funded by a EU programme Reference Number PID2025-173855NB-I00 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Ultrafast Science of
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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PhD, or equivalent doctoral degree completed by the time of appointment, in neuroscience, genetics or genomics, bioinformatics, biomedical engineering, computational biology, psychology, epidemiology
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PhD in Neuroscience, Computer Science, or a related discipline, preferably with expertise in computational and wet-lab neuroscience. The post is available for 36 months starting December 1st, 2026
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, computer science, or a related discipline by the appointment start date. The fellowship is a full-time 12-month appointment with the potential for renewal up to two additional years, based on satisfactory
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is highly preferable Experience in material characterization, computational engineering, programming and computer aided design will be prioritized Work independently and in a structured manner, and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 days ago
cross-disciplinary and specialist Institutes and Centres. Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses
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. Working at KAUST The successful applicant will be integrated in the Volcanology, Igneous Petrology and Geochemistry team, within the Earth Science and Engineering Program at KAUST. In the team, currently
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Mentorship: Co-supervise students and research assistants with structured feedback on study design, analysis, and writing. Model responsible conduct of research and mentorship best practices. Research program