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flexible, from as early as October 1, 2026 to as late as fall 2027 Group or Departmental Website: https://geophysics.stanford.edu/(link is external) https://www.yang-climate-group.org/(link is external) How
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internationally) Requirements: The successful candidate should have the following qualifications: • PhD in Epidemiology, Data Science, Applied Mathematics, Computer Science, Statistics, Public Health, Economics or
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Researcher will work in Professor Benjamin Peherstorfer’s group (https://cims.nyu.edu/~pehersto/ ) on scientific machine learning at the Courant Institute of Mathematical Sciences where they will help
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, Applied Mathematics, Computer Science, Statistics, Public Health, Economics or related computational field. Demonstrated experience in epidemiological methods, preferably using national mortality datasets
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are looking for a highly motivated post-doctoral candidate interested in advanced health data interoperability and harmonisation, federated data analysis and the development of next generation AI-based research
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
). These groups investigate the cognitive abilities of dogs, wolves, parrots and pigs using observational and experimental settings, well-controlled behavioural tests and state-of-the-art analysis tools (video
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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: https://neurock.cems.umn.edu/ Candidates are expected to lead scientific research efforts, mentor and collaborate with others, give scientific presentations and write scientific reports and manuscripts
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for: Conducting leading‑edge theoretical research in feedback control and mathematical systems theory Developing new robustness and feedback stability analysis results for nonlinear feedback systems subjected
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at the bench, and to use lab instrumentation (NMR, HPLC, LCMS) to validate experimental results through analysis of data. The candidate must work well in a research group setting and within project teams