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1 September 2025) Background The Department ‘Anthropology of Politics and Governance’ is looking for a doctoral student who will conduct an ethnographic study on digital transformations in health and
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to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new
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Scrum) and modeling of system structures and behavior. Experience with common software development tools, for example Git, IDEs, CI/CD and issue tracking. We offer: A family-friendly and collegial working
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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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of Physics by means of various spectroscopy schemes and also at Q.ANT in their gyroscope/magnetometer labs. With this thesis, the PhD student will acquire broad knowledge on state-of-the-art laser technology
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. DAAD will conduct a formal review of the applications received via the DAAD portal only, according to the DAAD criteria. In addition to this first step, applicants must at the same time/as a second step
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, workshops and e-learning opportunities per year for personal development, as well as a wide range of health and sports activities Remuneration according to TV-H, company pension scheme, child allowance and
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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knowledge of the English language high problem-solving ability, motivation/interest in scientific research, willingness to learn and work in a group applications showing previous experience with numerical
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science. A wide range of quantum theoretical methods shall be employed. A solid background in quantum mechanics and programming skills are prerequisite for this position, as is the readiness to learn and to