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for personal and professional development with support from experienced PIs. FLEXIBILITY: Flexible working time models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to
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of mathematical modelling techniques to model the ecology of wildlife disease. Proven ability to work to deadlines. Excellent interpersonal and communications skills appropriate for interacting with higher degree
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solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
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, mathematical, and financial modeling skills to research tasks and analytical deliverables. Utilize R, Python, or similar programming tools to manage, analyze, and interpret large datasets. Prepare and deliver
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9 Mar 2026 Job Information Organisation/Company CNRS Department Institut de Biologie Valrose Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
skills Specific Requirements The candidate must hold a PhD in machine learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood
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check: Yes About the Department: The Mathematical Sciences Department offers undergraduate, Master’s, and Ph.D. programs in pure, applied, and computational mathematics. Research across a variety of
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Website: https://projectone.uasys.edu/about-project-one/ Summary of Job Duties: This position serves as the Workday Report Developer on the Technical team, reporting to the Reporting and Analytics Lead
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models. The NNDC is responsible for the Nuclear Science Reference (NSR), eXperimental Unevaluated Nuclear Data List (XUNDL), Evaluated Nuclear Structure Data File (ENSDF) and Evaluated Nuclear Data File
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines