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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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study at multiple levels of analysis using a combination of biochemical/ structural biological, genetic, and cell biological approaches [Lo et al Haucke, Nat Chem Biol 19, 18-27; Ebner et al Haucke, V
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, mass spectrometry and interdisciplinary work Team spirit and cooperative work style Experience with microbiological and molecular biological methods will be a plus A good command of English What we offer
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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qualifications Required are social and methodological skills (problem analysis, conceptual and solution-oriented working methods, working methodology, etc.), which are usually acquired through at least 3 years of
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sustainable use of tropical coastal ecosystems. To this end, we work in an inter- and transdisciplinary manner with our partners in the tropics. The ZMT is a member of the Leibniz Association. Program Area
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Python-based) Test and benchmark the model with trained and untrained data Compare the ML models with traditional feature extraction methods and evaluate their success rate Your profile Enrolled in a
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system) in computer science or another relevant discipline. A proven scientific focus on Artificial Intelligence (AI) & Machine Learning (ML). Experience with data analysis using ML or AI methods
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) and related to the major multi-national initiative “GOE-DEEP” supported by the International Continental Scientific Drilling Program (ICDP) and aiming to study the climate at the time of the first rise
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM Energy Materials Group