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Job no:523342 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences A highly technical postdoctoral engineering role focused on rock mechanics, modelling, and AI
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possible. Basic Qualifications PhD in computer science, statistics, electrical engineering, applied mathematics, computational biology, or a related quantitative field required by the expected start date
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Engineering » Mechanical engineering Engineering » Systems engineering Engineering » Other Mathematics » Geometry Researcher Profile Recognised Researcher (R2) Application Deadline 1 Sep 2026 - 21:59 (UTC
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leading scientists from mathematics, particle physics, astrophysics, and cosmology at the University of Hamburg and DESY. As part of the cluster's technology transfer activities, this project aims
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Ph.D. or other terminal degree in relevant field Preferred Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas
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postdoc candidate, with a keen interest in academic and professional development, who meets the following requirements: a PhD degree in computer science or artificial intelligence; demonstrable machine
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Qualifications: A Master's degree and a PhD in Data Science, Mathematics, Computer Science, Physics, or in a related field In-depth knowledge in current methodology of AI (Deep Learning, generative AI, Explainable
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, applied mathematics, computational biology, bioengineering, biophysics, or a related quantitative field required by the expected start date. Candidates must have received their PhD on or after September 15
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department
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nucleation pathways related to different emissions characteristics at the engine exhaust. The collected data would be helpful to validate the microphysics models for ice nucleation process, hence clarifying