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Field
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) chemistry, physics, bio- and chemical engineering will work closely together to research and develop the basis for the targeted use of sustainable polysaccharides in hydrogel applications. You will work in a
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Collaboration with and co-supervision of research interns and students Your Profile: Excellently completed master`s degree in physics, chemistry, material sciences, engineering, or a related field. Solid
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of single-molecule microscopy data in collaboration with theorists from other institutions YOUR PROFILE You should have obtained (or be about to obtain) a Master‘s degree (or equivalent) in Physics, Physical
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science. Our research
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Description/content The PhD programme in Physics is part of the Georg-August University School of Science (GAUSS), which offers a structured doctoral education and promotes excellent research in mathematics and
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to: 1. Simulate climate impacts on agro-environmental systems using a state-of-the-art biophysical process model 2.Assess adaptation opportunities for land-users under changing climate conditions 3.Assess
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committed to equal opportunity and diversity. The university aims to increase the proportion of women in research and teaching and therefore encourages qualified female scientists to apply. The hiring process
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qualifications A masters degree in neuroscience, physics, evolution and ecology, or related quantitative fields. Prior experience with Python or Matlab, and a willingness to learn analysis tools. Excited about
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 5 hours ago
reward signalling. Your qualifications A masters degree in neuroscience, physics, evolution and ecology, or related quantitative fields. Prior experience with Python or Matlab, and a willingness to learn