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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 25 days ago
fellowship Job Status Full-time Hours Per Week 35 Offer Starting Date 27 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI
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high-resolution, quantitative time-lapse soil property measurements using high-performance, parallel computing. Together with our existing rich dataset, we will inform a soil-plant digital twin, enabling
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opportunities for better design. AI-driven optimisation offers a promising parallel route forward. Techniques such as Bayesian optimisation have already proven successful in related contexts, such as optimising
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statistical programs using STATA, SAS, and/or R and parallel computing • Learn about and implement novel/unfamiliar statistical methods, depending on the candidate’s skills and project needs • Perform
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Contexte L'utilisation de l'hydrogène (H2) dans le secteur énergétique est
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) Country United Kingdom Application Deadline 28 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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of approximately 5,000 students in occupational/technical programs and university-parallel/college transfer programs. Teach 30 credit hours (in-person day and evening classes as well as synchronous or asynchronous
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of approximately 5,000 students in occupational/technical programs and university-parallel/college transfer programs. Teach 30 credit hours (in-person day and evening classes as well as synchronous or asynchronous
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help push the boundaries of urban wind modelling by developing efficient
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parallel scheduling frameworks and operates the Scalable Systems Laboratory, a cloud-native software testing platform for the NSF Institute for Research and Innovation in Software for High Energy Physics