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[Wissenschaftszeitvertragsgesetz, WissZeitVG]).Application deadline: 16.12.2025Scope of work: full-time position suitable for part-timeThe goal of this project is to develop and analyze application-oriented benchmarks for Rydberg
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connect to our group’s work and how this position supports their career development goals. Possible research topics include (but are not limited to): Optimization algorithms for machine learning (stochastic
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Technical University of Munich, one of the top universities in Europe. It is distinguished by excellence in research and teaching, interdisciplinarity, and talent development. Additionally, it maintains
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relevant field, (political science, sociology, science and technology studies (STS), international relations, media/communication studies, law, development studies, or related disciplines); for the pre
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
package development) and command line-based analysis tools (e.g. Python) • Knowledge with public sequence databases, error correction algorithms • Scientific experience in immunology, molecular and cell
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for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven exploration, optimization, and search algorithms in extremely complex and enormously large spaces
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on the creation and application of predictive simulation models Collaboration on the development of data processing and fusion algorithms Collaboration on the virtual modeling of marine structures Conducting and
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teaching, we think in terms of possibilities rather than limits and develop ideas with a future. We embrace diversity, promote potential and are committed to educational equality worthy of the name. The KWI
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
of communicative AI appropriation by students and teachers in secondary schools and how this is interwoven with the data infrastructures, design decisions, data models, and algorithms of AI platform providers and
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume