800 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" uni jobs in Germany
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, PowerPoint) You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge You have experience in working with survey or even panel
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development program (self & time management, communication skills, team development, burnout prevention, structured research work) Support for post-academic career: test field and office space for startups, job
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Independent work ethic and desire to learn new methods and protocols A willingness to learn basic computer programming Work well with people from various cultures Ability to speak and write fluently in English
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03.02.2025, Academic staff The Cryoskeleton Lab (https://www.pioneercampus.org/index.php?id=56765) at Helmholtz Munich is looking for Master students who are interested in using in situ cryo
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personenbezogenen Daten im Rahmen Ihrer Bewerbung abrufbar unter http://go.tum.de/554159. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutz-hinweise der TUM zur Kenntnis genommen haben
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linear systems Implementation of the most promising approaches to solve the linear systems arising from MESHFREE point clouds, for example for the hydrostatic pressure equation outside of MESHFREE Analysis
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. The project is jointly supervised by Prof. Dr. Ralf Jänicke (Institute of Applied Mechanics, Technische Universität Braunschweig) and PD Dr. Stefan Kollmannsberger (Chair of Computational Modeling and
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Solution Architect Reference number: 2026-0039 The Division of Intelligent Medical Systems (IMSY) is an interdisciplinary research division working at the interface of computer science, physics, statistics
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, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
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, or similar domains) is a plus Solid understanding of cloud architectures and ML-Ops (AWS, Azure, or GCP) Familiarity with privacy-preserving or distributed learning approaches (e.g. Federated Learning) Comfort