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Field
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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical
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programme. Further information about the IAC's research programme, its Observatories and the 10.4m GTC is available at the IAC's web page: https://www.iac.es/en Tasks:The successful candidate will pursue
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, including statistical tools and programming, to large multidimensional datasets from chamber and airborne experiments Present your results at international conferences and publish them in peer-reviewed
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candidate will help with: Metadata acquisition and curation of the data collected Data acquisition and storage for metabolomic analysis Performing quality control on the data produced Statistical analysis and
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. Lead and conduct research projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data
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Joint degree / double degree programme No Description/content Data Science is a scientific field that has emerged at the interface of computer science, mathematics, statistics and applications. It is
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on the findings, contributing to the broader framework of the group's ongoing technological research projects. Link to the call for applications on the UB website: https://seu.ub.edu/ofertaPublicaCategoriaPublic
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motivated applicants for PhD positions in the Astro & Particle Physics group of Yi-Ming Zhong (https://inspirehep.net/authors/1288248 ) at the Department of Physics, City University of Hong Kong, starting
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Technologies de l'Information et de la Communication Field: Telecommunications / Machine Learning / Statistical Signal Processing. Research Lab: L2S (Laboratoire des Signaux et Systèmes) Advisor: Antoine BERTHET
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
Bayesian statistics, AI-assisted inverse problems, planetary remote sensing, and environmental monitoring. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09787 Requirements Skills