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stability analysis and control, machine learning, dimensionality reduction and high-performance computing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR3346-NADMAA-159/Default.aspx
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doctorate in mathematics completed and certificate provided in due time before the start of the contract. Emphasis in one or more of the following areas: Convex and nonsmooth analysis, optimization
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, VASCOVID and REHAB COVID projects. It will be carried out in collaboration with Parc Tauli Hospital (PI: Jaume Mesquida). The fellow will be in charge of data acquisition, analysis and interpretation as well
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Engineering » Mechanical engineering Engineering » Other Mathematics » Applied mathematics Physics » Computational physics Physics » Solid state physics Physics » Thermodynamics Researcher Profile First Stage
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10 Feb 2026 Job Information Organisation/Company Complutense University of Madrid Department Estadística e Investigación Operativa Research Field Mathematics » Applied mathematics Mathematics
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expertise. The Clinical Epidemiology Unit (clinicalepi.de ) uses and develops modern statistical and mathematical methods for the analysis of primary and secondary data. A particular focus of the Unit is the
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, Financial Mathematics, Actuarial Mathematics, Stochastic Analysis, Data Science, and Statistical Learning. In particular, the Department seeks candidates who are also interested in contributing towards our
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, United States of America [map ] Subject Areas: Mathematics, Probability and Statistics, Financial Mathematics, Actuarial Mathematics, Stochastic Analysis, Data Science, and Statistical Learning Appl Deadline: 2026/06/01 04
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**Applications for this position must be made via MathJobs.Org . The Carleton College Department of Mathematics and Statistics seeks a Visiting Assistant Professor or Visiting Instructor in
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
Business majors, they should demonstrate a clear interest in finance or economics. A strong quantitative background—particularly in mathematical modelling, statistical analysis, or computational methods—is