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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and upcoming AI methods to analyze the climate
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development knowledge of the state-of-the-art in climate physics and Earth system modeling and data analysis techniques programming skills e.g. in C, BASH, Python, Latex software user knowledge: MS
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of Schleswig-Holstein (10%). It is one of the internationally leading institutions in the field of marine research. Through our research and our commitment to the transfer of knowledge and technology, we
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
effectively across disciplines Very good English knowledge (approximately equivalent to CEFR level C1). A background in Antarctic research is a plus, though not required Further Information The AWI is
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
context Excellent communication and teamwork skills, with the ability to collaborate effectively across disciplines Very good English knowledge (approximately equivalent to CEFR level C1) A background in
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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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of Schleswig-Holstein (10 %) and is one of the internationally leading institutions in the field of marine sciences. Through our research and our commitment to the transfer of knowledge and technology, we
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of results in group meetings and at conferences a strong interest in translational research, to acquire biological knowledge and to work together with physicians and life scientists ability to work
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics