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student assistants and contribute to shaping the CRC’s research direction Your Profile PhD in computer science, neuroscience, machine learning, or related field Strong programming skills in Python and
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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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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, particularly in C++ and Python Good communication skills in spoken and written EnglishInterest or prior experience in machine learning techniques is considered an asset. You may expect a multifaceted and
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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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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
the current management concept adequately address the emerging challenges posed by climate change and a fast-growing fishery? How can the management concept be improved, potentially by learning from management
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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that enables you to successfully negotiate with partners and institutions is a requirement You are a team player and like to take responsibility for yourself and others. You enjoy learning from and
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within a larger interdisciplinary Collaborative Research Center. We offer the opportunity to acquire cutting-edge research methods, combining experimental studies on language use and interpretation with