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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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within the IROKO/INRIA team in Montpellier. The doctoral student's primary mission will be to **develop, adapt, and evaluate methods for estimating sample influence** within the specific context of Pl
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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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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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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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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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of manipulation tasks) as well as observability (to guarantee an accurate global state estimation) and robustness against modeling errors. Another idea is hinging on the concept of closed-loop sensitivity
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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