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Description At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13
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to characterise mice in terms of their cognitive, social and emotional behavioural spectrum Molecular and cell biology analyses of neuroplasticity, endocrinology and immunology using established techniques (e.g
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the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges facing science
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Your profile University degree (Master's degree, diploma or equivalent) in biology, biochemistry, chemistry, food chemistry, toxicology, pharmacy or (veterinary) medicine or a comparable discipline Basic
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or equivalent) in biology, biochemistry, chemistry, food chemistry, toxicology, pharmacy or (veterinary) medicine or a comparable discipline Basic knowledge in toxicology (e.g. through advanced training courses
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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scholarship holders or offers from the alumni network Application Papers The Studienstiftung expects: an exceptionally challenging and innovative scientific dissertation project that can be completed within a
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strengthening education and research in Latin America structural strengthening and regional networking of partner institutions and partner universities Who can apply? University graduates from the following
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available in the further tabs (e.g. “Application requirements”). Programme Description The Munich Aerospace e.V. Bavarian Research Network was initiated in 2010 to combine key expertise in the field
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academics and build an interdisciplinary network of experts on the environment. To this end, the scholarships help finance doctoral theses which clearly address topical environmental protection and nature