214 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral research jobs in Germany
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge
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or a related discipline A solid background in climate and atmospheric sciences, and extreme weather ideally supported by knowledge of machine learning and time series analysis is of advantage, as is
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Germany Application Deadline 16 Sep 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job
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simulations of protoplanetary discs and planet formation in the context of core accretion paradigm. Proficient computational skills especially in Python, FORTRAN or C++. A good understanding of the chemistry of
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or a related discipline A solid background in climate and atmospheric sciences, and extreme weather ideally supported by knowledge of machine learning and time series analysis is of advantage, as is
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techniques to challenging biological systems. Requirements: Ideal candidates should hold an excellent PhD in structural biology, biochemistry, biophysics or in an equivalent area. Experience in membrane
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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European seas; Publish joint studies on the role of light in bottom-up and top-down control of ecosystem dynamics. Content-related enquiries can be directed to Prof. Dr. Kai Wirtz Your profile MSc and PhD in
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enquiries can be directed to Prof. Kai Wirtz (kai.wirtz@hereon.de ). Your profile MSc and PhD in environmental sciences, physics or related disciplines with experience in programming languages (e.g., Fortran