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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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cover will be constrained using Raman spectroscopy of carbonaceous material (RSCM method), complemented by bottom-hole temperatures (BHT) and heat flow data to define present-day thermal gradients
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research group of 6 permanent staff members, 3 PhD students and 2 non-permanent researchers within the Electronics team. He/she will also collaborate with other teams on campus, in particular the CIMAP
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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