514 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD research jobs
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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or qualification, field of scholarship, and accomplishments in the field. Minimum Number of References Required 2 Maximum Number of References Allowed 3 Keywords Machine Learning Reinforcement Learning Foundational
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. Strong (inter-)national network in field of application. Experience with high-performance computing (HPC) and large datasets. Experience with machine learning applied to geophysical signals. Experience in
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, statistics, machine learning) - a high motivation and the ability to work independently with a strong team orientation - excellent spoken and written English and the will to acquire a certain working language
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the
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teaching and mentoring to empower all members to achieve excellence in research. More details can be found via https://hhs.purdue.edu/hsu-neatlab/ . About the School The School of Health Sciences at Purdue
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and foster collaboration with industry partners, including leading funded projects and contracts. Where to apply Website https://talent.irta.cat/en/jobs/7352716-researcher-in-fertilization-and-biofert
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project managers. Travel is expected as part of the project. Where to apply Website https://utc.recruitee.com/o/ingenieur-de-recherche-fh-projet-foie-bioartificiel… Requirements Research FieldBiological
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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
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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