118 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at UNIVERSITY OF VIENNA in United Kingdom
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within the Faculty and/or the University The University of Vienna expects the successful candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor’s programmes and
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candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor’s programmes and for participation in university committees. We offer: a dynamic research environment a wide
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The University of Vienna expects the successful candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor’s programmes and for participation in university committees. We
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candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor’s programmes and for participation in university committees. We offer: a dynamic research environment a wide
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written), fluency in German is an advantage; good computer literacy and skills; strong communication (both oral and written in formal and informal situations), presentation and organisational skills; target
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. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a supercomputer shared by Austria's major universities. We focus on the development of methods to solve the many
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Independent organisation of courses, examinations and supervision of Islamic-Theological Studies students in the Bachelor's and Master's degree programmes Participation in organisational and administrative
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to be coupled to model-free analysis of molecular dynamics simulations. This includes work in the biochemical wet-lab as well as with prototype NMR spectroscopy and computational tasks. You have previous
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the native language), or the willingness to acquire German Ability to work in a team, strong organizational skills, reliability, and attention to detail We also expect: Good general computer skills and
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Biochemical Network Analysis group, led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence, and high-performance computing to study metabolic networks and optimize