231 cloud-computing-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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- LIVERPOOL JOHN MOORES UNIVERSITY
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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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- Rashid Ganiev
- Royal Horticultural Society;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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- University of York;
- VIN UNIVERSITY
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such as computational social science, computer science, or cognitive science. They will have a demonstrable track record in studying humans and machine learning models, in the context of human social
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supports staff maintaining a good work-life balance, offering: (i) flexible working and parental leave opportunities; (ii) an employee assistance programme which provides free, confidential advice on both
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of
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Applications are invited for a Postdoctoral Research Assistant in Astrophysics (ERC RedH0T). This project will be part of the ERC Synergy Grant “Red-Teaming the Hubble Tension” (RedH0T). The goal is to determine whether the Hubble tension arises from observational issues or from limitations in...
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& Medicine. Department: Res Dept of Biomedical Computing. Contact details:Dr Konrad Wagstyl. konrad.wagstyl@kcl.ac.uk Location: St Thomas Hospital. Category: Research. THIS VACANCY IS OPEN TO INTERNAL
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry