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, neutrino physics, computational physics and accelerator research as well as the development of sophisticated analysis techniques and modern technologies such as superconducting‑enhanced sensing and
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and further information go to: https://www.uni-muenster.de/CiM-IMPRS We offer 16 fully financed PhD positions. More positions financed by work contracts may be offered depending on availability
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protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/tu-dresden/arbeiten-an-der
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protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/tu-dresden/arbeiten-an-der
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on high-performance computing and quantum computing platforms Analysis and validation of results using classical reference models and simulation data Documentation of research results and contribution
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for the automated analysis of very large DAS datasets will be systematically extended. The doctoral research topic focuses on the localisation of seismic noise sources using machine learning. About your role
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applications for a PhD-student (m/f/d; 65%, 3 years in first instance) to work on a large-scale €6m multi-site Wellcome-funded project. This position is suited for researchers who have finished or are about to
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to such functions as movement, growth and regulation – emerge from interaction between their component parts. A distinctive feature of the CAFE-BIO programme is that a novel combination of modelling and analysis
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related fields demonstrated expertise in one or more of the defined focus areas strong analytical and problem-solving skills, with experience in experimental design, data analysis, or computational modeling
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academic qualification (usually PhD). Tasks: independent, curiosity-driven basic scientific research on fundamental mathematical optimization problems in the fields of machine learning and image analysis