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. (2014). Beyond Hopkinson's bar. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 372(2023), 20130195. [11] I. Bataev, S. Tanaka, Q. Zhou, D. Lazurenko
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must have a doctorate in applied mathematics, climatology, or statistics with experience in machine learning. Essential technical skills: - Skills in statistical modeling or machine learning. Experience
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of Research Experience1 - 4 Research FieldEnvironmental science » Global changeYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in computing sciences, applied mathematics
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Experience1 - 4 Additional Information Eligibility criteria The candidate, who holds a PhD in physics or applied mathematics or 3D imaging or equivalent, should have good experience in digital modelling or in
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Information Eligibility criteria - PhD - Completed university studies (masters degree) and a doctoral degree in computer science, applied mathematics, computational science - Very good knowledge of numerical
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30 Mar 2024 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Engineering Computer science Mathematics Researcher Profile Recognised
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needs solid skills in many-body theory, mathematics, and numerical programming. Ideally he/she is already familiar with some of the concepts mentioned in the section 'Activities' above. The candidate
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Computer science Mathematics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 1 Apr 2024 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer