88 computer-programmer-"https:"-"INSA-toulouse" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at UNIVERSITY OF VIENNA
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PhD programme selection Experience in mammalian cell culture and fluorescence microscopy is required Experience with molecular cloning and genome editing methods is desired Experience with recombinant
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 02.04.2032 Reference no.: 5394 Your future place is at the Department of Sport and Human Movement Science in the research area of Computer Science in
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vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List of publications (if available) evidence of teaching experience (if available) ideas for a prospective
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molecular simulation and computational materials discovery. Fuel cells, photovoltaic devices, photocatalytic converters – they all are crucial elements in delivering decarbonization and sustainable energy
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the field of machine learning in computational materials science. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective
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& administration, which means: You are involved in research related to electronic structure theory and non-adiabatic dynamics You will carry out independent computational work, including method development, data
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). A proven publication record would be desirable. You have knowledge of foreign languages. Corresponding experience abroad would be desirable. You have qualified computer skills in connection with
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team on forefront science, while profiting from the international environment in the Department of Astrophysics . We have privileged access to the Austrian Scientific Computing super-computing facility
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- MUST German - Excellent knowledge - SHOULD Computer-Skills: Type of computer skills / Specified computer skills / Importance Statistics Statistical analyses - MUST Modeling - Ecological Modeling - SHOULD