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available in the further tabs (e.g. “Application requirements”). Programme Description Copernicus Hamburg awards fellowships to Eastern and Central European, North African and Central Asian students every
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available in the further tabs (e.g. “Application requirements”). Programme Description The international Leo Baeck Fellowship Programme awards grants to doctoral students who carry out research
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 6 hours ago
program of the Jena School for Microbial Communication offers an ambitious, structured and interdisciplinary post-graduate training based on top-level fundamental research. As a member of the Cluster
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computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills and knowledge considered as assets: working
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/d). Project overview Protein design is a rapidly evolving field, with machine learning taking an increasingly important role in the development of novel protein biotechnologies. Yet, computer
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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-Württemberg Exchange Program. The position is available starting February 1st, 2026 with funding for a period of 6 months with possibility of extension. The employment is up to 30 hours per month. Duties and
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
according to German TV-L E13 for 3.5 years) and 2 Postdoc positions (100 % TV-L E13 for 2 years) with wet-lab or computational focus to decode microbial balance in a highly collaborative and multidisciplinary
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on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine