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the promotion of knowledge transfer into practice Your Profile: Completed Master`s degree in chemistry, electrochemistry, technical chemistry, chemical engineering or a comparable field of study (e.g
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have very good knowledge in at least one of the research areas of the Research Training Group You are motivated to contribute to the Research Training Group (by, for instance, attending seminars and
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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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worldwide with state-of-the-art mass spectrometry infrastructure, gaining knowledge across multiple disciplines. The international and collaborative atmosphere at the Max Planck Institute of Biochemistry
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be part of an ambitious and challenging interdisciplinary project, committed to cutting-edge research, ethical international collaboration, and creative formats of knowledge dissemination. We offer
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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 the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 22 days ago
Programming skills, including Python knowledge and its relevant libraries. Outstanding communication skills and experience working with remote communication tools. Familiar with standard quantum mechanics
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 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