63 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at UNIVERSITY OF VIENNA
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the organisation and execution of program events, workshops, and meetings. Monitor the effectiveness of communication measures and monitor media trends and public discourse in relevant scientific areas, using
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measures and quality assurance. What we expect from you: Outstanding records in a doctoral program and strong demonstrated ability or potential for high-quality research at the forefront of their field
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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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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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& 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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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