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15.05.2021, Wissenschaftliches Personal The chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for an excellent candidate for a
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of agricultural applications, technology, and research. Compensation The position will be paid in accordance with the Collective Agreement for the Civil Service of the Lands (TV-L). Your qualifications • A Master’s
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School of Science and Engineering (IGSSE) at TUM: link . Research topic: Energy system models play a crucial role when it comes to designing future sustainable and resilient energy systems. Climate change
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Agile IT Organizations Contribution to Software Engineering and Strategic IT Management eductation at the Bachelor's and Master's level Supervision of Bachelor and Master theses We offer Practice-oriented
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its affiliation to the Technical University of Munich (TUM), deals with the multifaceted interactions between politics, society, business and technology in research, teaching and practice. It was
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13.02.2025, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years
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interdisciplinary, international, and in-depth, but also practical. We offer a possibility to obtain broad and profound expertise, both theory and practice, in the field of agricultural applications, technology and
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engineering. You already have some practical experience in plant design and/or operation. You stand out for your high-quality standards and independent, solution-orientated way of working and have in-depth
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at international conferences Contribution to the education of students and thus support of our educational mission. Requirements: Above average Master’s degree in engineering, applied mathematics, physics
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of the Technical University of Munich. In our group, we advance ethical practice and theory in medicine, bio-medical technology, and public health, driven by the belief that embedding ethics is essential for shaping