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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
the Theory Department of the FHI , which will start Jan 2026, is offering a 3-year PhD position for ML-accelerated modeling of the dynamics of realistic catalytic interfaces. This position is a combination of
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elites on outcomes. The successful candidate(s) will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science. To promote a strategic career path, all PhD fellows
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promoted. The ERA Fellowships – Green Hydrogen programme, funded by the Federal Ministry of Research, Technology and Space (BMFTR), is complemented by comprehensive networking measures and the establishment
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. Supervision Given Supervising undergraduate students Providing guidance to other lab members, as required Qualifications Minimum Qualifications PhD in a relevant life science or computational discipline (e.g
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genomics infrastructure, specialist expertise, and strong collaborative networks to generate large-scale Environmental DNA (eDNA) and whole-genome sequencing datasets. Our work establishes a genomics-enabled
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sciences Cultural studies Sociology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 12 Dec 2025 - 23:59 (Europe/Lisbon) Type of Contract Other
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, and a PhD research program with over 120 students. 40 academic staff conduct experimental research in many areas of Psychology, including behavioural and cognitive neuroscience, perception, learning
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15th December 2025 Languages English English English The Department of Computer Science has a vacancy for a Postdoctoral Fellow in AI Enhancement of Game-based Learning Apply for this job See
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Deadline 5 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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An exciting opportunity has arisen for a Research Fellow to work on a NIHR ARC Wessex adopted and NIHR PGfAR funded programme grant: Personalised social and self-management support for better living