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of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial intelligence, especially in the areas of reinforcement learning and deep probabilistic models. To strengthen our team
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candidate will have in-depth knowledge of how to address relevant biological problems using analytical methods from the fields of differential equations and/or stochastic processes, as well as computational
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at the interface of Quantum Information and Computation with the study of Complex Quantum Many-Body Systems. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts
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Computer Science, ranging all the way from abstract mathematics and theoretical physics to high-performance numerical simulation algorithms. As a Senior Scientist in the “Quantum Information and Quantum Many-Body
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within the team. Your future tasks: Participation in research, teaching and administration in the field of comparative policy analysis and qualitative methods as well as in the research group CeSCoS
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gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated
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group (https://theochem.univie.ac.at/ ) at the Institute of Theoretical Chemistry aims at understanding chemical phenomena using contemporary computational and theoretical methods. We employ and extend ab
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, and high-performance computing for biotechnological applications. The project aims to develop computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods
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39 Faculty of Computer Science Startdate: 01.12.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.11.2029 Reference no.: 4629 Explore
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of charge. Benefits: The University of Vienna also offers you numerous benefits, such as a company pension fund, travel allowances, low-cost parking, discounted IT (hardware and software), special rates