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pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an PhD candidate (Life Sciences) 50
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- Specific topics and methods can be flexible to suit the candidate’s interests and strengths In addition to these tasks, as part of the team and your PhD training you will also be expected to: - Work
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for a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1
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the successful software package VASP (Vienna ab-initio Simulation Package). We focus on the development of methods to solve the many-electron Schrödinger equation for fermions and bosons with high accuracy and on
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dissemination and in scientific and teaching activities. This is part of your personality: Your profile: You completed a PhD in Demography or a closely related discipline with a focus on quantitative methods. You
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scale. You will contribute to the development of broadly applicable electronic structure methods, new software, and machine learning methods with the specific goal to enable high throughput screening
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Bachelor students. As a university assistant predoctoral (Doctoral student), you conduct a research project that complements research in our group and that ultimately will lead to a PhD degree. The primary
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rights in Austria. Formally, the position is based at the Department of Governement, a subunit of the Faculty of Social Sciences, under the direction of Prof. Dr. Sylvia Kritzinger. Your future tasks: The
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understanding of energy conversion mechanisms based on electron-phonon coupling. You will contribute to the development of new dynamics software and machine learning methods for the computational design of
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Specific Requirements Your personal sphere of influence: The Organic Synthesis Group of Prof. Maulide in the Faculty of Chemistry at the University of Vienna is currently seeking a PhD student with research