105 computer-science-programming-languages-"Prof.-Dr"-"Prof" positions at Technical University of Munich in Germany
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energy, especially in shallow geothermal energy - experience in the field of energy planning - high interest in research work - good english knowledge - enjoy working in an international team TASK Your
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engineering, computer science or electrical engineering, with good grades. Experience in scientific work, project proposal writing and team leadership are part of your repertoire. In addition, you are
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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very good master's degree in a topic-related field (computer science, automotive engineering, electrical engineering) Experience in scientific work, project acquisition as well as management experience
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candidate with practical experience in immunology, molecular biology and biochemistry. Strong interest in the life science field and the ability to work creatively, independently and in a team are very
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and practical skills in all aspects of omics data processing and integration as well as programming are essential. Additional important requirements include a sound understanding of biology. We
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21.09.2020, Wissenschaftliches Personal Join the Bavarian Quantum Technology Initiative! To support the quantum technology initiative of the federal and the Bavarian government we are looking
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03.04.2024, Wissenschaftliches Personal Postdoc Green Hydrogen Financing (m / f / d) at the TUM School of Social Sciences and Technology, Professorship for Public Policy for the Green Transition
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will develop into acute or chronic infection. Your expertise - PhD in life sciences, preferably (liver) immunology and/or viral hepatitis. - Experience in high-dimensional flow cytometry for phenotyping