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based, July 2025 to August 2026, potentially August 2027) -Presenting research results at different international conferences. - Writing academic articles with other team members (PI, Post-docs, PhD
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based, July 2025 to August 2026, potentially August 2027) -Presenting research results at different international conferences. - Writing academic articles with other team members (PI, Post-docs, PhD
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, Post-docs, PhD). -(Co-)Organizing conference panels. -(Co-) Organizing an international workshop in Mexico with the aim of preparing a collaborative scientific publication with researchers based in
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through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Researcher in statistical modelling and
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training. Requirements Research FieldPhysics » Statistical physicsEducation LevelPhD or equivalent Skills/Qualifications Required skills and qualifications: - PhD in statistical physics or biophysics is
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stochastic processes. We shall consider several classes of network slice requests, each one being characterized by an ordered sequence of VNFs, a traffic volume and a random lifetime of known statistical
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/Qualifications PhD in Bioinformatics, Computational Biology or a related field. Strong programming skills (e.g., Python, R, Perl, or Java) Proficiency in statistical analysis and data visualization Previous
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that are expressed in a neuroinflammatory pathological context during protein aggregation processes. Advise experimenters on the best design for the statistical exploitation of data. Write the documents necessary
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Ecole Nationale Supérieure des Mines de Saint Etienne | Saint Etienne, Rhone Alpes | France | 18 days ago
Goals (SDG) 11-Sustainable cities and communities and 13-Climate Action. Its work environment is characterised by high Faculty-to-Student, Staff-to-Faculty and PhD-to-Faculty ratios, as
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@uca.fr before Tuesday 30th April 2024.Requirements: master's degree or engineer's degrees in 2024 or before, mathematical background (probability, statistics, linear algebra, optimization), programming