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part of the international Refuge-Arctic project (https://www.refuge-arctic.ulaval.ca ) with links to the NASA FORTE project, whose overall objective is to better understand and predict the role played by
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involved and stakeholders interested in the project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8538-PIEBAR-007/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation
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validation on simulated and real data Skills Abstraction capabilities, strong programming skills in C/C++ and Python, collaboration skills. English is needed. REFERENCES [0] C. Bekker, S. Rothmann, M. Kloppers
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level
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conferences. • Contribute to the writing of scientific publications. Optional : • Design Machine Learning (ML) potentials. • Code in FORTRAN and PYTHON to improve the functionality of the global
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of errors between model predictions and post-operative reality This work will be carried out by the Biomécamot team (https://www.timc.fr/BiomecaMot ) at the TIMC laboratory, which is part of the CNRS's
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degree: Master's (or equivalent) in neuroscience, psychology, biomedical engineering, computer science, or related discipline. • Skills: Python programming, solid knowledge of statistics, behavioral
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source and an infrared laser test bench. Script development in Python and C++ will be necessary to control ASIC parameters, to automate data collection and to record data for analysis (Python, ROOT). He
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(https://numpex.org/ ) Exa-DI and Exa-SofT projects. The position requires regular travel (approximately 1 week per month) to the Paris-Saclay Campus for collaboration with the Exa-DI Computational Data
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, superconductivity, quantum optics, growth (MBE) etc. – http://www.insp.jussieu.fr/. ; Our team has developed an expertise in magnetoacoustics on various systems, take a look at our webpage: https://w3