2,487 linked-data-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions
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planning with foundation models, agentic task decomposition and event-driven re-planning, and autonomous semantic-aware inspection of complex infrastructure. The RAI team has a strong European and
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We are offering a three-year PhD fellowship in computational pharmacology and pharmaceutical data science commencing 15 October 2026 or as soon as possible thereafter. Our group and research The
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Research Assistant /Associate in Parkinson's Clinical Data Science Requisition ID: 29632 Location: Newcastle, GB Contract Type: Fixed Term Working Pattern: Full Time Posted Date: 10 Sept 2026
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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exascale supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you access to unmatched resources to prototype new ideas, run experiments, and
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regulations for emission withing maritime transport. Description of the PhD project The title of the PhD project is: Smart Seas: Enabling Data-Driven Sustainable Maritime Operations . Environmental
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Übersicht PhD Student in Macroeconomic Forecasting and Data Science 100%, Zurich, fixed-term Drucken We are looking for a PhD Student in Macroeconomic Forecasting and Data Science. The position is
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improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez! URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14887&rmlang=UK
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environments. The project will explore how learning-based and agentic AI systems (e.g., agents built on large language or foundation models) can be combined with physics-informed process models, digital
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relevant decision-making. The candidate will contribute to the development of foundation models for sequence data and patient trajectories, representation learning approaches for microbial genomes and