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Microelectronics teams, the PhD student will be supervised and helped. He/She will access, after training, the IEMN technological platforms. He/She will be provided the tools and computer accesses necessary
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extreme or poorly documented conditions. In parallel, a reliable state of charge (SoC) estimation strategy will be implemented. It will rely in particular on the implementation of Kalman filters and AI
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pair production (365 GeV). The exquisite design luminosity makes it simultaneously an electroweak gauge bosons, Higgs and top factory. The operation at the $Z$ pole provides about $10^{13}$ $Z$ decays
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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understanding of the levers of engagement and empowerment for people with aphasia in a technology-assisted rehabilitation context. Combining insights from social sciences, ergonomics, and human-computer
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wide spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology
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will then be responsible for analyzing community preferences for these scenarios via a discrete choice experiment (DCE). This approach will estimate marginal preferences for attributes, willingness
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collection of >6,000 isolates of the fungus present in the lab (and 20+ closely related species). Additionnally to computer analyses (which will represent the core of the project), the PhD student will
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therefore be part of a particularly dynamic research effort. As part of the JET2SB project, funds have been allocated for: - the acquisition of the computer equipment necessary for the research work
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of the computer equipment necessary for the research work, - the financing of regular travel between the different laboratories involved in the project, - as well as support for the doctoral student's participation