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orientation. Relevant projects may make use of large-scale survey data, administrative or register-based data, repeated cross-sectional or longitudinal designs, evaluation studies, or combinations
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 5 days ago
and physical oceanography, data assimilation and machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
of large-scale data. Knowledge of relevant programming languages. Wet lab experience required. Preferred Qualifications, Competencies, and Experience Previous experience in analyzing sequencing and DNA
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 23 hours ago
expert knowledge. As a result, existing models may require large amounts of labelled data, may generalize poorly outside the training distribution, and often provide limited interpretability regarding
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whether the University is likely to be able to support a visa application - http://go.qub.ac.uk/internationalstaffsupport . Candidate Information
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apply for positions that are approved as hybrid or fully remote in accordance with UTRGV policies. Other Requires knowledge of: Large complex institutions of higher education and their data reporting
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 days ago
(LNCS 14806, pp. 174–194). Springer. https://doi.org/10.1007/978-3-031-70543-4_11 Clérice, T., Gabay, S., Vlachou-Efstathiou, M., Pinche, A., & Sagot, B. (2026). CoMMA, a Large-scale Corpus of
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the environmental drivers underlying these changes. The project is based on fine-grain gridded biodiversity data from around 1930 and 2010 to quantify biodiversity changes through time. Potential drivers will be
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advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable
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information about third-cycle studies at Sahlgrenska Academy, see https://www.gu.se/en/sahlgrenska-akademin/doctoral-studies Doctoral studies comprises four years of full-time study, and leads to a doctoral