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Field
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. Job description The Aerodynamics group is composed of 12 scientific staff and hosts the Chairs of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific
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for general image classification tasks. We are particularly interested in applications involving weather radar imagery and medical imaging. Mandatory requirements: Ph.D. in Computer Science, Mathematics
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insurance Subsidised membership at our Sport & Aquatic Centre Access to an Employee Assistance Program for free and confidential support Convenient onsite GP, imaging, and physiotherapy clinics Pre-Employment
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-of-the-art behavioral, neurophysiological, circuit, and computational approaches to examine neural activity in awake-behaving rodents performing auditory and audiovisual tasks. These approaches include high
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
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of the Rockies (NLR, formerly NREL) provide for an exceptionally inspiring research environment. At the University of Colorado our group is affiliated with the Materials Science and Engineering Program, the Center
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the ScalingRules project (ANR Chair
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 1 month ago
Biological sciences » Biology Engineering » Mechanical engineering Engineering » Materials engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 25 Sep 2026
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the University of Oxford and the University of Cape Town. The programme integrates AI-driven image analysis with molecular and clinical data to identify novel disease-associated features and translate them