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Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv
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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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under Section 5 below. 2.3 — The compulsory application minute, to be completely filled out, dated, and signed, is available at https://www.ua.pt/file/78384 . 2.4 — Submission of the application: 2.4.1
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
continue to be a leader in science innovation and the application of knowledge. APS has united numerous scientific entities on campus to further its mission of finding interdisciplinary solutions to real
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical
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place in countries of the Global South and North, as well as the processes of protection, transmission and sharing. Its analysis, conducted across various temporal and spatial scales, prioritises
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of physical or electrochemical systems. Strong programming and numerical analysis skills. Knowledge/Skills/Abilities Ability to develop, implement, validate, and analyze computational models of electrochemical
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considerations. Candidates should have a Ph.D. degree and past work in applied and computational mathematics, with a solid background in machine learning and/or numerical analysis. The candidate should have an
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-Gobain and is hosted within the Saint-Gobain Innovation Hub Europe. The recruited person will report hierarchically to Hervé Montigaud. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR125
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the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling, geotechnical laboratory testing, and complementary numerical simulations to improve understanding