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has a strong societal impact ambition and requires particular care to protect intellectual property, while maintaining a collaborative research approach within a network involving other academic and
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Information Eligibility criteria Applicants should hold a PhD in theoretical chemistry, physics, materials science, or a related field; -demonstrate strong expertise in machine learning (regression, neural
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, robot control, unconventional cameras, humanoid robotics Skills: formalization of geometric and photometric image models, neural network training, software development, hardware installation, oral and
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of ENSICAEN (www.lpc-caen.in2p3.fr/ ). The Nuclear Waste Management (NWM) group comprises two faculty members from the University of Caen, one faculty member from ENSICAEN, one CNRS researcher, two PhD students
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/ ). The Nuclear Waste Management (NWM) group comprises two faculty members from the University of Caen, one faculty member from ENSICAEN, one CNRS researcher, two PhD students, and one associate researcher. Its
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Strasbourg. The unit comprises 12 research teams, 3 platforms, and 3 technical units, employing 80 staff, including 46 researchers/lecturers/engineers and 34 PhD students and postdoctoral researchers. LIMA's
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
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count regime, joint gamma/neutrino studies of VHE data. The requited person will achieve these research studies within the H.E.S.S., CTAO or KM3NeT collaboration. - Gammapy developer (code, test
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to defined deadlines, including preparing monthly reports in English. The candidate will also serve as a liaison between project partners and will present results to the project coordinators. The postdoctoral
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- 10 Additional Information Eligibility criteria Key competencies: PhD in cognitive science / cognitive neuroscience with experience in cognitive neuroimaging; Programming languages / software