486 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD research jobs
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What is Biogen’s PhD Fellowship? Biogen’s two-year Ph.D. fellowship in Worldwide Medical (WWM) provides recent doctoral graduates a hands-on opportunity to learn the ins and outs of medical affairs
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willing to work in a collaborative environment. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high
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apply through the Careers at UF website at http://jobs.ufl.edu . Required documents include: An application letter summarizing research interests and goals Curriculum Vitae that includes a complete list
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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 (metabolomics, proteomics, microbiome
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team selection announcements” section: https://daip.uvt.ro/anunturi-selectie-echipe-proiecte/ Email, in compliance with GDPR Period for submitting appeals regarding file evaluation Date: 20.02.2026
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[ed](: https://www.tcd.ie/hr/assets/pdf/academic-hours-public-service-agreement.pdf)ucation, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Post Summary
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, individualized education. Faculty are committed to creating a student-centered learning community that embraces multiple viewpoints. It is a department in which learning, research, and professional activity inform
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of roles and tasks. Strict expertise in all the technologies is not required. However, a great attitude and willingness to learn is a must. Flexible Work location The selected candidate will offer
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, sex, disability, sexual orientation, chronic illness, nationality, ethnic origin or race, religion or political beliefs. Website for additional job details https://www.novaidfct.pt/content/NOVAID271.EDI
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machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome, etc.) development of predictive models and digital decision-support