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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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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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; knowledge in numerical methods and simulation, particularly for partial differential equations, and basic knowledge in mathematical modeling with/and PDEs, with a focus on fluid or biomechanics, porous media
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 2 months ago
of physics and materials science Ability to work in the team and at the interdisciplinary level Proficiency in spoken and written English In-depth knowledge in quantum condensed matter physics, with
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or broader European context. Ideal candidates will also bring knowledge of research on misinformation and anti-democratic attitudes, particularly at the intersection of technology, democracy, 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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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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communication skills and motivation to familiarize themselves with new subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. Knowledge
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writing skills, thorough command of the English language. German language knowledge is very beneficial. YOUR BENEFITS An exciting position in a dynamic research team that interacts with leading
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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