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) biometrics, with methodological developments in statistics, computer science, and mathematics for modeling living organisms; (ii) ecology and evolution, studied from the molecular and genomic levels
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5 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics Researcher
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences
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and mathematical analysis of solver technology for multiphase flow simulation in deformable geological porous media. Key challenges and opportunities related to the center applications include: a
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for a highly enthusiastic and motivated student with - a strong 1st class degree in Mathematics at the MMath/MSci/MSc level, or equivalent; - a solid background in numerical analysis of differential
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involves the analysis of experimental data, and the maintenance of accurate laboratory records in accordance with FAIR and Open Science principles. The researcher will work closely with multidisciplinary
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embedded within the Quantitative Healthcare Analysis (qurAI) group and conducted in close collaboration with the CARA Lab and clinical partners in the Netherlands and abroad. You will work with large, multi
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Application deadline: All year round How to apply: uom.link/pgr-apply-2425 This 4-year project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply. The successful candidate will receive an annual...
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make use of historical and new datasets from several SuperDARN radars along with data from the EISCAT radars to determine this. Furthermore, the candidate is expected to develop new analysis methods
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mathematical tools for understanding the connection between microscopic particle dynamics and macroscopic continuum descriptions. Funding notes: For UK and EU candidates: Funding may be available through a