71 parallel-computing-numerical-methods Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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-managing health conditions, and of contributing to the process evaluation of randomised controlled trials in health research, including qualitative and public involvement methods. Applicants will ideally
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to work effectively as part of a team and demonstrate flexibility to meet project deadlines. Essential skills and experience include: Strong understanding of qualitative research methods Excellent
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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
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child health. The position is based at the MRC Lifecourse Epidemiology Centre, and part of an NIHR-funded programme of research which aims to inform how people can be better supported to plan and prepare
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Application Deadline 24 Sep 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 Is the Job related to staff
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using remote sensing techniques and data collection methods across the MENA region, under the guidance of the project director; Participate in ground surveys and contribute to training programs in
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(R3) Country United Kingdom Application Deadline 23 Sep 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
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modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of spectroscopic methods to study photochemical processes. Essential Duties and Responsibilities
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18 Nov 2025 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom
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goal of this project is to perform a coherent control experiments with a levitated particle, in the classical and ultimately in the quantum regime. We ultimately aim to generate experimental methods