620 machine-learning "https:" "https:" "https:" "https:" "The Open University" PhD positions in Germany
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seismicity in the area at unprecedented resolution. Leveraging and improving state-of-the-art machine learning techniques, template matching and other techniques, you will derive a high precision catalogue of
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) Travel to industry partners to learn and set up on-site research Preparing scientific publications and project reports Your Profile: Strong motivation for an interdisciplinary project that combines physics
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. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic audiences. Attend and participate in academic and non-academic
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literature review, hypothesis development, and experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic
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31.12.2025. Please apply exclusively via our job portal (https://jobs.uni-siegen.de ). Unfortunately, we cannot consider applications in writing or by e-mail. Your contact person: Prof. Dr. Roman Obermaisser
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elements distribution, crystallographic texture), mechanical properties (hardness, yield and tensile strength) and corrosion profile (rate and localization). This work focuses on machine learning assisted
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literature review, hypothesis development, and experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic
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applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under various operating conditions and develop strategies
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. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://www.uni-goettingen.de/en/644546.html?filters={%22vollzeit%22:[],%22befristet%22:[],%22gruppe%22
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elucidation and (bio-)chemical methods, interconnecting biochemistry, pharmacology, and medicine and foster the individual development of young researchers. Further information: https://www.medizin.uni