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physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
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for this position by clicking on the ‘Apply’ link at the top of this page. For further information about this position, please see the Position Description hyperlinked below. Position Description: Postdoctoral Fellow
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sustainable next-generation IT infrastructures. The group includes the PI and three PhD students, with funding for additional PhD and postdoc positions. The selected candidate will define their project jointly
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centres to enable independent analysis and local ownership of spatial data systems. The project’s research portfolio includes methodological innovation in geostatistical model development, integration
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assess the impact of robots on care workflows. The key goal of the PhD project is to develop a proposal for a Nordic Model for sustainable robot integration in care set-tings, having the Norwegian context
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of Small Language Models (SML) to support nature-positive business transformation. The research will contribute to a new venture aiming to support Southeast Asian businesses in their sustainability
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Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 4 Jan 2026 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the
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mathematical modellers and epidemiologists at CERM with strong collaborative links within Singapore and across the wider region. Key Responsibilities: • Collate and analyse data from longitudinal studies
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applications. Performing other related duties as required. QUALIFICATIONS Required Qualifications Successful candidates will have PhD completed within the last 5 years in computer science, data science
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principles with data-driven modeling for thermal and mechanical simulations in metal additive manufacturing. Candidates will design, implement, and validate PIML models that can accurately capture process