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spoken English Strong analytical and independent working style Excellent teamwork and communication skills You are independent, motivated, and passionate about shaping the energy transition
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Topic: The rapid advancement of digital health technologies presents unprecedented global opportunities and challenges in public health and healthcare, data management and analytics in prevention
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 24 days ago
30 Jan 2026 Job Information Organisation/Company Leibniz-Institute for Food Systems Biology at the Technical University of Munich Research Field Biological sciences Computer science Researcher
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check our website for more information: https://www.uni-goettingen.de/de/635183.html PhD students with their own funding (e.g. DAAD) can join at any time. Tuition fees per semester in EUR None Combined
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 24 days ago
30 Jan 2026 Job Information Organisation/Company Leibniz-Institute for Food Systems Biology at the Technical University of Munich Research Field Biological sciences Computer science Researcher
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and data meet What you contribute Master of Science (or equivalent) in Computer Science, Applied Mathematik, Engineering, Physics, or similar Strong analytical thinking and algorithmic understanding
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, and critical materials by comparing them to other energy sources and extraction methods, while considering future demand, price trends, and incorporating data on resource productivity, innovative
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Strong analytical and independent working style Excellent teamwork and communication skills You are independent, motivated, and passionate about shaping the energy transition—if this describes you, we
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world regions together. At the same time, a historical approach is related to systematic-analytical categories from the social sciences, evidently including human geography. What we provide is a well
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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