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, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
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field Excellent English language skills (written and spoken) Highly motivated to work in a cooperative manner within the RTG Desirable knowledge and skills include: Understanding of the principles
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biogeochemistry, environmental sciences, or a related field is required. Knowledge of the biogeochemistry of trace gases such as methane in shallow water areas would be advantageous. Existing skills in measuring
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opportunities for cognitive and systems neuroscientific research, including a vibrant in vivo two-photon imaging community, several MRI facilities, as well as an excellent, multidisciplinary scientific
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aim to leverage high-throughput phenotyping to create knowledge about plant function at the physiological level and use forward genetics approaches to unravel the genetic architecture of root traits
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of employment). The successful candidate should possess evidenced (e.g. by relevant PhD thesis and publications) knowledge of stochastic and rough analysis. Knowledge of rough path signatures, numerical methods
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You ideally bring the following with you: a graduation (M.Sc.) in chemistry, biochemistry, molecular / cell biology, or related field advanced knowledge and practical experience in analytical chemistry
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physics is required, ideally with knowledge of solid-state physics, as well as high motivation and a good command of English. What we offer: a modern, well-equipped workplace on the campus of the Technische
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integrates clinical and developmental psychology with cognitive neuroscience and follows a translational approach in the spirit of “from bench to bedside to curbside.” In the basic research domain (bench