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date) in Data Science, Computer Science, Statistics, Environmental Science, Sustainability Studies, or a related field with a strong quantitative focus. Applicants with an interdisciplinary degree
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Framework Programme? Not funded by a EU programme Reference Number AN/319/25 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Life Sciences – Department
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Application Deadline 1 Oct 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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Ecology (future Natural Sciences) within three months of accession in the position. For admission to the programme an average grade at master’s level of B or higher is usually required (or the corresponding
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 25 days ago
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 The position unfolds in three phases, within a
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completed a Master degree in Chemistry, or related scientific fields. The applicant must be enrolled or will enroll in a Doctorate Program or in a non-academic degree Course integrated in the educational
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Research Framework Programme? Other EU programme Reference Number IPN/LIS/2025/CON28 Is the Job related to staff position within a Research Infrastructure? No Offer Description Laboratory for Informatics and
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to Dr Bismark Singh by email B.Singh@soton.ac.uk . About you The selected candidate is required to have a PhD in operations research, mathematics, computer science or a related area. Experience in
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sustainability and interactivity, primarily for wheat, barley, oat, and rye. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her computational biology and machine
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. Candidates with either Bayesian or traditional statistical backgrounds are encouraged to apply. Candidates should be able to programme in a high-level language for data analysis such as R, STAN or MatLab