13 parallel-computing-numerical-methods "DIFFER" PhD positions at UNIVERSITY OF VIENNA
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interested in the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy studying complex quantum mechanical systems both from a physical
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numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields of interest include, but are not limited to, stochastic partial differential equations
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of a team, with strong written and spoken English Desirable qualifications Research experience in HCI, Responsible AI, Social Computing, or a related area Experience with one or more relevant methods
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interface of reactive molecular simulations and data-driven modeling. The successful candidate will develop and apply data-driven methods for chemical discovery and molecular design. These methods include
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://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI: Including data attribution, data curation, and privacy
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, quantum computing and quantum cybersecurity applications? Can we scale up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear
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hormones beyond conventional healthcare settings. Through a participatory research design, the project integrates qualitative social science methods with philosophical analysis. Current case studies examine
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must-have, as you will be trained in these methods. What matters most is curiosity, resilience under demanding fieldwork conditions, a collaborative mindset for working across an international team, and
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relationship between security, and societal transformations and governance, expertise, and everyday life in the Global East. Methodologically, strong competence in qualitative social science methods is
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training : Benefit from close supervision and gain access to high-quality methods workshops, interdisciplinary seminar series, transferable skills development, and opportunities to present your work and