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Field
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). The successful candidate will work with a team of researchers, working under the guidance of the Principal Investigator and the research fellow, to deliver an innovative research programme focused on supporting
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description By joining a multidisciplinary team, the
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Postdoctoral Position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling A postdoctoral position is available at the Department of Computer Science, Aalborg University Copenhagen
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Department of Energy (DOE). ORNL’s CCP conducts world-class research and development in multi-scale computational coupled physics, large scale data analytics and DL, and model-data integration at the DOE’s
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, accessibility, emissions) with subjective responses (e.g., behavioural, emotional, cognitive). Analyse and model the data to explain patterns of preference, acceptance, and perceived fairness across diverse city
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Are you fascinated by a future where generative AI models fully comply with the specifications and the requirements of the systems that use them? We are excited to offer a postdoc position, which is
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8 Nov 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Computer science » Other Mathematics » Computational mathematics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program is designed for candidates who have completed their PhD within the last two years and have experience as
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Positions Country Ireland Application Deadline 11 Dec 2025 - 12:00 (Europe/Dublin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by
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the time the employment decision is made. a strong background in computational decision support systems for urban planning programming skills, spatial modeling, carbon accounting, and spatial data analysis a