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Field
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position is available in the group of Prof. Alexey Nesvizhskii at the University of Michigan Medical School. The position will focus on developing computational algorithms and tools for the analysis of mass
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, and learning capabilities Develop and optimize data-driven algorithms for anomaly detection and incident response Implement scalable, modular, and containerized solutions compatible with platforms
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numerical simulations of complex dynamic systems, e.g. turbulence, hurricane. The duty of the role is within the range of: 1) developing novel algorithms on data analyses and data mining, e.g. Large Models
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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programme Reference Number EUMETSAT-LSA SAF CDOP4 Agreement Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research Fellowship (BI) for a PhD Student 1
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7th May 2026 Languages English Norsk Bokmål English English PhD Fellowship in Quantum-Safe Blockchain Technologies Apply for this job See advertisement Job description The University of Stavanger
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5th May 2026 Languages English Norsk Bokmål English English Faculty of Engineering Science and Technology PhD Fellow in optics: advanced microscopy methods for bioimaging Apply for this job See
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assurance/insurance frameworks, including algorithmic insurance contracts, parametric insurance structures, and data-driven risk quantification methods (e.g., conformal prediction and inverse conformal
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31st May 2026 Languages English Norsk Bokmål English English PhD Fellowship in Optimization of Energy Transfer in Shallow Geothermal Wells Apply for this job See advertisement Job description The