24 bayesian-object-detection PhD positions at Technical University of Munich in Germany
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the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. - Publication of research results and presentation of results at scientific conferences
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for dynamical systems, causality, and ML for science more broadly. We publish at core ML venues and are also interested in collaborating on applications in biomedicine, climate, or physics. Find out more at
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01.08.2025, Wissenschaftliches Personal For a scientific project for Spin-Selective Neutron Detection using Quantum Sensing, we are looking for a PhD Position (m/f/x) with 30h/week. The Technical
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at Helmholtz Munich together with the Leibniz Institute for Solid State and Materials Research in Dresden developed a new approach for that challenge using surface acoustic wave detection of photoacoustic
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measurements in a team of experts on and in the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. Publication of research results and
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that you have taken note of TUM's data protection information. Find out more about us at https://www.lss.ls.tum.de/eoem/ The position is suitable for disabled persons. Disabled applicants will be given
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number 2025-15-S2-VS via email to: Anja Albrecht (Administration) recruiting.leibniz-lsb@tum.de. We look forward to receiving your application! Data Protection Notice: As part of your application for a
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, accounting for cars, buses, trams, bicycles, and trucks as a function of transport supply and travel demand. The objective of the project is first to develop assessment indicators based on the MFD
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spectrometry (GC-MS), electro-antennographic detection (EAD), RNAi knockdowns, and behavioral olfactometer assays—to elucidate how divergence in CHC perception has potentially contributed to prezygotic
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the collection and processing of personal data as part of your application. By submitting your application, you confirm that you have taken note of TUM's data protection information. Find out more about us at