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sustainable future. A more detailed summary of our research fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent Network on international
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in interdisciplinary networks alike. The BMC of the LMU is located on the Martinsried Campus (one of the best scientific locations in Germany) and offers an ideal research infrastructure. Off campus
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: Investigating the role of NMDA receptor hypofunction in decision-making and behaviour using translational mouse models Performing in vivo multiphoton imaging to study neuronal activity and network dynamics in
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an active student scene and a diverse cultural life. We are looking to fill a PhD position (m/f/d) - Top-down partitioning of net ecosystem exchange (NEE) on regional scales for 3 years, starting in September
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dedicated, ambitious and supportive research team in state-of-the-art facilities and will experience the benefits of a structured PhD training program that provides doctoral students with interdisciplinary
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weekends (e.g. between Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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. Göttingen as a city of science is located in the center of Germany and the University Medical Center Göttingen is integrated into an attractive network of university and non-university scientific institutions
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. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries into applications that enable the early detection of deviations from health
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI