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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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learning, safety-critical control, probabilistic modeling, verification, or optimization; Excellent communication skills in English and the ability to work both independently and collaboratively in
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source, Hereon jointly operates several beamlines. The Imaging Beamline P05 is optimized for micro- and nanotomography techniques with a strong focus on material science and life science applications
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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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social counseling team are available to assist you on site WORK-LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option of flexible
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Materials Science Center (GEMS). At the PETRA III synchrotron radiation source, Hereon jointly operates several beamlines. The Imaging Beamline P05 is optimized for micro- and nanotomography techniques with a
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excellent opportunities for scientific advancement WORK-LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option of flexible working (in
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biological, biochemical as well as -omics and bioinformatics techniques Optimize and apply ribosome profiling and single-cell ribosome profiling on organoids and clinical samples Characterize the impact of gut
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their acoustic and thermal properties Developing and optimizing numerical models to simulate the performance of thermoacoustic microdevices Designing, fabricating, and experimentally testing prototype
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institution of TUM Campus Heilbronn that uses data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning