115 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Dr" "P" positions at UNIVERSITY OF VIENNA
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The Institute for Labour and Social Law invites applications for four pre-doctoral assistant positions (employment group B1, in accordance with the collective agreement) to support the research team of Prof. Dr
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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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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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language. The department employs more than eighty staff and presently around 2500 students are enrolled in its Bachelor, Masters, Diploma, PhD and Teacher Education programmes. You will be working in the area of applied
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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong