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looking for a dedicated PhD student to join our team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In
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: • Completed doctoral/PhD studies in the field of chemistry, pharmacy and similar fields • Excellent knowledge in computer-aided drug design and medicinal chemistry • Publications in peer-reviewed journals
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scientists, research, teaching, and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 17.11.2025 Reference no.: 4674 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom
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in the field of cancer research The following are considered a plus: Experience with next generation sequencing data analysis or other genome-wide assays Experience with machine learning methods in
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Michael Bronstein, AITHYRA Scientific Director AI and Honorary Professor of the Technical University of Vienna in collaboration with Ismail Ilkan Ceylan, expert in graph machine learning, invites
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lit. b (postdoc) Limited contract until: 17.11.2025 Job ID: 4674 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join
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engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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of computer-aided drug design, pharmacophore modelling, docking and virtual screening. You should be a team player with high social skills You are expected to subscribe to the PhD program of the PhaNuSpo