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-cosmology.sites.sheffield.ac.uk/phd-projects https://sites.google.com/a/sheffield.ac.uk/elizabeth-winstanley/professor-elizabeth-winstanley View DetailsEmail EnquiryApply Online
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Improving Detection and Intervention for Social Isolation and Loneliness in Dementia Using NLP and Clinical Screening School of Psychology PhD Research Project Self Funded Dr Nemanja Vaci, Dr
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on the development and application of computational and analytical methods for metaproteomics, including peptide and protein identification, taxonomic and functional profiling, and integration with other omics data
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 hours ago
Social Data Analytics This course highlights the research in analysis for social data and builds skills to undertake those analysis. It is a lab-intensive course intended to build up data analytic skills
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supervisors, forming a consortium of seven beneficiaries (see above) and fourteen associated partners including six from industry and two start-ups. For more information, please have a look at https
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | about 19 hours ago
. Complex data analysis. Other skills: organizational and analytical skills, communication (oral and written) to multiple audiences, ability to work in a team and build effective and trustful collaborations
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Applicants must hold a PhD in Analytical Chemistry, Environmental Chemistry, Pharmaceutical Sciences or a related field. Applicants with extensive experience in LC‑HRMS‑based early‑warning monitoring
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FieldPharmacological sciencesYears of Research Experience1 - 4 Research FieldTechnologyYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work
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Statistics-related degrees: BS in Mathematics with a Statistics Emphasis MS in Statistics PhD in Statistical Sciences (with interdisciplinary data analytics focus) We are committed to teaching at all levels
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administrative claims data Conduct large-scale characterization, comparative effectiveness and safety estimation, and patient-level prediction analyses Develop reproducible analytic pipelines using R and SQL in