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Field
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, or a related field. Candidates must possess relevant research experience in probability, stochastic analysis, and optimization. Applicants with knowledge in machine learning, as well as a track record
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Institut des Hautes Etudes Scientifiques | Bures sur Yvette, le de France | France | about 14 hours ago
approaches to quantum field theory, stochastic partial differential equations, rigorous approaches to the renormalization group, and related areas will receive special consideration. The IHES scientific
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at https://qatar-weill.cornell.edu/research/research-labs/abu-raddad-lab Major duties: Conduct project-related research on the biomedical and behavioural aspects of the population dynamics of communicable
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
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models. Experience and knowledge of stochastic differential equations. Experience of using MHD output as input for GCR transport models Theoretical knowledge of particle transport in plasmas Documented
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chains, random graphs and trees, random matrix theory, stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in high dimensions. About the role You will
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(deterministic, stochastic, robust, reinforcement learning–based) • Systems architecture and design for complex socio-technical systems • Graph theory, network science, and knowledge representation • Agent-based
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of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability theory and statistical signal processing, with applications in areas such as financial mathematics
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. Methodological Areas of Interest Applicants with experience in the following areas are especially encouraged to apply: Optimization (deterministic, stochastic, robust, reinforcement learning–based) Systems
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», https://probabilistic-qft.org/ , which addresses broad theoretical questions interfacing quantum field theory and probability theory, but also noisy quantum dynamics. We welcome applications of candidates