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Field
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). For TUD Dresden University of Technology, diversity is an essential feature and a quality
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), we work in a dynamic and international team of over one hundred materials scientists, chemists, physicists, mechanical engineers and technical staff on the development of advanced energy converters and
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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 oriented
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develops LLMs and agentic AI systems for scientific discovery, engineering and physical systems. We investigate how AI can reason about scientific problems, interact with simulation software and support the
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for candidates with: A strong BSc and MSc degree in computer science, machine learning, mathematics, physics, engineering, or a related field Strong foundations in machine learning and deep learning Experience
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Experience in polymer and nano-technology o Experience with emulsions or colloidal matter. LanguagesENGLISHLevelExcellent Additional Information Additional comments If you have any questions, please contact
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 2 months ago
conference and journal papers Your profile Masters, Diploma or equivalent degree in mathematics/statistics, IT/computer science, physics, computation biology, biomedical engineering or related scientific
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for evaluating long-term transformation paths Your Profile Excellent master`s degree in engineering, materials science, industrial engineering, energy systems, or a comparable field of study Strong interest in
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
experimental laboratory research. The successful candidate will become part of the DKFZ International PhD Program (https://www.dkfz.de/en/career/international-phd-program ) and will work in a highly
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-processing. A background in physics or engineering, ideally with some experience in laser optics, digital signal processing, and electronics, is an advantage. More about the Ring project can be found