57 theoretical-and-computational-chemistry PhD positions at Technical University of Munich
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of extension (TV-L E13 75%) in a highly motivated team combing on equal footing experimental and theoretical research. Professional career development complementing your scientific research is offered via TUM
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Science, Computational Linguistics, Data Science or a similar field Good theoretical knowledge and practical experience with Natural Language Processing (rule-based and/or machine learning) Software Engineering Motivation
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infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer Science or a similar field Good theoretical
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. You must hold a master’s degree in Electrical Engineering, Computer Science, Mathematics, or similar. The work is interdisciplinary and we will closely collaborate with a group at the chemistry
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world. The workflow spans from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our
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. We are looking for candidates with research interest in the theoretical analysis of algorithms. In particular, the candidate shall work on appproximation algorithms for scheduling problems in parallel
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well as chemistry and physics-based applications (www.bucherlab.org). We are currently exploring two different directions with two open positions: 1) Surface NMR spectroscopy. Recently we have applied NV-centers
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from a university with a focus on aerospace, physics, or related fields • Very good and fundamental knowledge in the areas of theoretical fluid mechanics and structural mechanics, as well as aero-thermal
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that are technically well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
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23.07.2025, Wissenschaftliches Personal The Ecosystem Dynamics and Forest Management Group at the TUM School of Life Sciences, Technical University of Munich studies how forests change in time and space. We quantify these changes, identify their causes and describe their impacts on biodiversity...