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innovation location for green hydrogen. Who can apply? PhD students who are interested in any topics related to Green Hydrogen (GH2) and want to be an active part in one of the four working groups: Production
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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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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description The Boehringer...
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22 Oct 2025 Job Information Organisation/Company Eisbach Bio GmbH Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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innovation location for green hydrogen. Who can apply? Graduate students who are interested in any topics related to Green Hydrogen (GH2) and want to be an active part in one of the four working groups
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studies. The HSB awards fellowships to doctoral students with outstanding academic gifts who show commitment to labour unions or socio-political issues. Doctoral candidates in any discipline who are
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in the supervision of MSc/PhD students is a plus Proficiency in spoken and written English; knowledge of German is a plus What we offer: Ambitious and varied tasks in a dynamic and international
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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | about 1 month ago
, Comparative Genomics and/or Conservation Genomics. We expect PhD degree in Biology, Data Science or related fields Strong background in genomics, including genome assembly, comparative genomics and population