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Field
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conferences.Requirements:- Passion about working at the intersection of mechanics and machine learning.- Bachelor/Master’s degree in Civil Engineering, Mechanical Engineering, Applied Mathematics, Computational Science or
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addition, we require: a strong mathematical background solid Python programming skills good background knowledge in the areas of data science, machine learning, statistics, and process modelling passion
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, mathematics, or industrial engineering. Please upload your bachelor’s and master’s degree. MPhil or Research Master's degree is preferred Candidates with an MSc or MA degree are are required to successfully
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, you will also work on analysing the theoretical properties of these algorithms using the mathematical framework of randomised complexity theory. You will be part of both the Probabilistic Graphical
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roadblocks and develop a testing schedule that provides data early enough to make meaningful changes What We Think Will Be A Good Fit BSc, MSc or PhD in HCI, Mathematics, Statistics, Psychology, Anthropology
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computer science or mathematics or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in the computer science. Alternatively, you have gained essentially corresponding
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computer science, mathematics or a closely related field, or expect to obtain such a degree soon. You are able to work both independently and as part of a team. You are proficient in English. (Dutch is not required
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17 May 2024 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics
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, Materials Sciences and Applied Mathematics working in Montpellier, Grenoble, Nice and Argentina. Most experiments will be performed in the CNRS-INSU SEM-EBSD national facility at Geosciences Montpellier
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, Materials Sciences and Applied Mathematics working in Montpellier, Grenoble, Nice and Argentina. Most experiments will be performed in the CNRS-INSU SEM-EBSD national facility at Geosciences Montpellier