1,193 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions in Germany
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 6 days ago
field or equivalent laboratory training (e.g. Technical Assistant) with relevant experience. Hands-on experience in sterile and semi-sterile environments and careful basic molecular biology, biochemistry
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-renewable. Value Monthly payments of 2,000 euros for assistant teachers, assistant professors and lecturers 2,150 euros for professors Monthly payments for former scholarship holders who work outside the
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In the area of expertise ‘IT Forensics’, we research and develop methods for the digital search for evidence in IT systems and on the internet on various specialist topics: Data storage device
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individuals holding a Master of Science degree in condensed matter physics or materials science, with a focus on numerical simulations - Prior experience with theoretical and or computational project work is
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faculty at the Max Planck Society and at Oxford University cover all major areas in Computer Science. For more information about the research interests of individual faculty, please visit: http://cis.mpg.de
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The Health + Life Science Alliance Heidelberg Mannheim is looking for outstanding early career scientists, including clinician scientists, for bridging projects between two or more partner
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scientist with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related field Experience in applied data science and machine
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initiative. The BMFTR Junior Research Group CO2 UPLED within the SINATRA research initiative is actively seeking a highly motivated PhD researcher to work on the development and interface engineering of
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« »Mathematics for vehicles, systems, and plants« »Analytics and computing« What you contribute You are a registered student in a natural sciences degree programme. You demonstrate commitment and enjoy taking
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Mechanical Engineering, Computer Science, Mechatronics or a comparable subject Solid background in programming (e.g., Python or C++) is essential Experience with machining processes or ML approaches