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mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc. Experience with atlas-scale single-cell data
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09888 Requirements Skills
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energy supply systems, multi-objective and stochastic optimization, advanced statistical analysis, and data visualization. This position offers the opportunity to work with a multidisciplinary team of
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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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will specialise in organic residue analysis of pottery. By joining our team, you will have access to state-of-the-art facilities and be part of the internationally recognised BioArCh centre
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analysis and manuscript preparation for the projects. They are expected to work independently on project management, proposal preparation and mentoring junior research staff members. A highly competitive
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. Richard Nickl and work in the project area 'Statistical aspects of non-linear inverse problems', which broadly addresses mathematical and foundational challenges in contemporary data science and the theory
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Mathematics, particularly in research areas such as Applied Analysis/Computational Mathematics/Mathematical Modeling/Probability and Statistics, along with excellent professional and research experience; and 3
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.: 534928), to commence as soon as possible for one to two years, with the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be