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Field
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research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and
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. Important questions we address include the writing and reading of magnetic information, the ultrafast transport of the spin and orbital angular momentum of electrons, and the impact of lattice vibrations
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30.07.2026 Application deadline : 31.08.2026 The Institute for Theoretical Physics at the University Tübingen is looking to fill a PhD Position in Quantum Metrology or Quantum Information Theory (f
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. The working hours are 15 hours per month. Your tasks will include supporting in the data collection and preparation and also good knowledge of statistics experience in programming with the tools R, Python
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 29 days ago
presolar grain research Experience in mass spectrometry and electron microscopy Independent user of the NanoSIMS Competitive publication record in cosmochemistry Additional Information The position is rated
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automatic interpretation of measurement data. A cornerstone of our systems is the automated, AI-driven interpretation of 3D point cloud data, which requires high-quality training datasets and, ideally, model
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referees in a single PDF to the head of the Chair group, Professor Johannes Sauer ([email protected] ). For further information, please contact Maria Vrachioli, PhD ([email protected] ) or Dr. Fabian
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international environment, demonstrates strong problem-solving abilities, and is committed to advancing cutting-edge research. Information about the application process We look forward to receiving your
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analysis, type information, dependency graphs, test generation) and LLM components be divided and combined? How can traceability be maintained across legacy artifact, recovered specification, and generated
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, you will focus on the quantification of model uncertainty, that arises from limited knowledge and the quantification of data uncertainty, that arises from data-inherent variability. For this, you can