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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 7 days ago
19 Sep 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile First Stage
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 18 days ago
integrated at the Phytooptics Group at AWI but also into the scientific infrastructure of the working group "Mathematical Statistics" at Faculty 03 of the University of Bremen. Extract information
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Research Assistant/Associate to undertake work as part of our NU Solve programme. Newcastle University Solve (NU Solve) in the School of Mathematics, Statistics & Physics (MSP) has a track record of
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). Knowledge : PhD in ecological modelling, statistics, mathematics, geographical projections. Fluency in English (written, read and spoken). Transverse skills : Project management, Methodology and analytical
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have significantly different floral diversity and earthworm populations as a result of different long-term application of inorganic fertilisers and organic manure treatments. Warwick Statistics is one
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équipe.The requirements are the following: - A Master'sdegree in Applied Mathematics / Statistics / Machine Learning, - Advanced programming skills in Python and/or R. - Prior experience in biostatistics and
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neuroanatomy, theories, and methods related to the involvement of thalamocortical networks in language and memory, as well as in behavioral and MRI methods, and statistics. Also, s/he will have the opportunity
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light on the human brain’s unique vulnerability to vascular disorders. What you do Develop scalable, robust, and reproducible data-analysis pipelines (statistics, mathematical modeling, and ML
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-analysis pipelines (statistics, mathematical modeling, and ML) for terabyte-scale 3D histology images, from preprocessing to analysis and validation. Handle and visualize large 3D microscopy datasets. Image
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function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics – particularly statistical mechanics