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, and PhD students of over 20 nationalities. The institute regularly publishes at leading AI-related conferences such as CVPR, NeurIPS, EMNLP, ICCV, ECCV, ICML, ICLR, and IROS, as well as at top
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Learning the “brain” of bacteria: decoding bacterial behaviour on surfaces to thwart infection (S3.5-MPS-Durham) School of Mathematical and Physical Sciences PhD Research Project Competition Funded
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statistics for data Science and AI Optimization, algorithms, and computational mathematics Information theory and learning theory Other foundational areas at the interface of mathematics and data science https
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funded by a EU programme Reference Number AE2025-0603 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais
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collaborate with us on ambitious formalisation projects. An ideal candidate: holds a PhD degree in computer science, or a PhD degree in mathematics, or equivalent; has a research track record at a high
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develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to
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facing health, security, and sustainability with groundbreaking fundamental and applied research. By harnessing powerful tools and algorithms, researchers decode scientific complexities faster and at
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guaranteed. Given the real-time nature of these large complex infrastructures, machine learning techniques can complement more deterministic algorithms to guarantee a reliable operation of the system
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We are seeking a motivated and creative PhD student to explore safe and trustworthy planning under uncertainty in multi-agent systems. They will collaborate on interdisciplinary research which draws
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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical