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team: This is an opportunity to work towards a PhD in physics and to conduct world-leading research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally analytical, simulation-based, ethnographic
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39 Faculty of Computer Science Startdate: 01.11.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 05.07.2025 Reference no.: 4249 More than
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and developmental biology, chromatin, RNA and chromosome biology, and synthetic/computational methods (including AI/ML) that will address complex biological questions from a mechanistic angle. Together
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methods. Empirical research experience, particularly with fieldwork in the Global South, is an asset. Strong team skills and the ability to work in international teams. You are self-motivated, eager to grow
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to the faculty committee of the Doctoral School within one year after coming to Vienna (Faculty public presentation). You independently teach courses in the BA program (proseminar, case study), one course per
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the exams. You are involved in supervising students. This is part of your personality: Completed Master's degree or Diploma, in the field of Law Basic experience in academic writing and with research methods
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Master's degree or Diploma (master’s degree by September 1st), in the field Art History Basic experience in academic writing and with research methods Didactic competences / experience with e-learning
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-learning Knowledge of university processes and structures Basic experience in research methods (legal dogmatics) and academic writing, experience in interdisciplinary research is an asset. What we offer