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Position Description Join the Department of Mathematics of Utrecht University as a Postdoctoral Researcher. Working in an international team of researchers based at both Utrecht University and LMU
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Qualifications: Doctoral degree. Applicants background may include studies in: Computational Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications: Expertise (or desire
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In collaboration with Utrecht University, you will quantify fire dynamics and its impacts on vegetation and climate at regional scales, combining global vegetation models with state-of-the-art
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Click to read more about the Dublin Innovation Institute (DII): https://dublininstitute.northeastern.edu/about/ Term: 10 months, full time Reports to: Dr. Shashi Murthy, Head of Institute. Prof. Giovanni
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29 Jul 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Mathematics Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research
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should hold a PhD (or be close to completion) in a relevant analytical and quantitative discipline, such as civil or transport engineering, transport modelling, mathematics, statistics, data science
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the research group can be found at: Electrochemical Engineering (tue.nl) Where to apply Website https://www.academictransfer.com/en/jobs/362816/postdoc-in-dynamic-modelling-of… Requirements Specific
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
-depth experience with modelling approaches, taking into account small sample sizes and repeated measures designs, as well as unbalanced data sets with missing values and categorical variables. Furthermore