22 process-engineering "https:" "https:" "https:" "https:" PhD positions at Technical University of Munich
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is moving away from fossil fuels and transitioning to a sustainable way of life. Photocatalysis is a technology with great potential to contribute to various fields, from the sustainable production
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accordance with Arti-cle 13 of the General Data Protection Regulation (GDPR) on the collection and processing of personal data as part of your application, available at https://portal.mytum.de/kompass
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) on the collection and processing of personal data in connection with your application, http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information
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disciplines: Food Technology, Nutritional Sciences, Food Chemistry, Biochemistry, Biotechnology or a related field. Ideally, you also have: · A strong interest in food structure, food processing and human
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mathematics and physics-enhanced machine learning . Requirements Master in Informatics, Mathematics, or a related field (e.g. Computational Science/Engineering) Strong knowledge of machine learning, Scientific
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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
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS
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problem. Do a theoretical analysis of the assigned problem using tools from information theory and related fields. Design a solution which is implementable on a computer and in hardware. Collaborate with
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fields. Design a solution which is implementable on a computer and in hardware. Collaborate with colleagues to implement the solution in hardware at the ACES lab at the Institute of Theoretical
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privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https