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Field
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of chemical engineering, process engineering, chemistry or a comparable discipline - Knowledge of hydrogen and energy research is an advantage - High motivation to complete the doctorate within three years
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chemistry or a comparable discipline Knowledge of hydrogen and energy research is an advantage Independent and self-motivated way of working High motivation to complete the doctorate within three years Very
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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 TV-L, part
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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, computer science, bioinformatics, biochemistry and biology allow you to catch up with the areas unfamiliar to you Nanocourses push your knowledge at the cutting edge of research in biology and computation Summer
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for the automatic generation of future energy technology scenarios based on LLMs, patent data, and scientific literature Investigating the system-level conditions under which future technologies like fusion and
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, Cheminformatics, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language
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Biology, Biochemistry or a related field Working knowledge of English Independent, structured, and precise working style Interest in interdisciplinary collaboration and modern research approaches What we
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knowledge of semiconductor physics, lasers, and optics. Ideally, experience in the field of transmission electron microscopy. High level of self-motivation, as well as enjoyment and skill in practical work
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scientific university studies in the field of electrical engineering, electronics, communication engineering, information technology or comparable with a master's or diploma degree Strong knowledge in analog