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Field
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ExperienceNone Additional Information Eligibility criteria - Holding a doctoral degree in particle physics - Experience in C++ and Python programming is desired - Experience in training and using Machine Learning
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assays Drug Discovery Dose-response assays, IC50 Data Analysis Proficiency in statistics and statistical software (GraphPad, R, Python) Candidate Profile Candidates having several of the following
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, Python/C++), avec un intérêt marqué pour l'agronomie et la biologie. L'encadrement sera assuré par des chercheurs du Cirad et de l'Inrae, au sein de l'UMR AGAP et de l'UMR AMAP, en lien avec les projets
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Python and an interest in the broader issues of seismic monitoring in hazard assessment and risk reduction. Fluency in English. Ability to work in a team. Experience in international collaborations
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LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications PhD in ecological, marine or computer science with skills in python and/or R, QGIS, database and
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the preparation of technology transfer and valorization steps. • Software development (Python, PsychoPy, real-time analysis and visualization tools). • Integration of acquisition modules (EEG, fMRI
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models and codes are already availabe and do not need to be developed in this research work) - Implement the metamodel (physics-informed AI or other approach), develop a python toolbox so that the approach
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efficiency exceeding 15%, based on GaN technology. Methods / Means Analytical, Matlab, ADS, Python Applicant Profile You are working toward a master of research or engineering degree in electrical engineering
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(ISO/SAE 21434, UNECE WP.29) Proficiency in Python and/or C/C++ and Linux-based systems Familiarity with OMNeT++, Mininet, or network testbeds (asset) We offer Multilingual and international character
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Python or MATLAB is considered mandatory, knowledge of Java is considered an asset Solid knowledge of transportation modelling, proved with indexed publications Experience with research projects and