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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 1 day ago
the area of Epidemiology, Biostatistics, Neurology, Nutrition, Project Management or related fields. Work plan The selected fellow will join the project as a researcher and perform the following tasks under
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computational sciences. These include, but are not limited to, artificial intelligence, biostatistics, data mining, high-dimensional data analysis, machine learning, network science, and computational
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Posting Link https://www.ubjobs.buffalo.edu/postings/59965 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.79 Posting Detail Information
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Society until 31 May 2028 in the first instance with the possibility of extension. For a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs
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of Applied Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale
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of Applied Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale
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within the Department of Data Science & Biostatistics at the Julius Center for Health Sciences and Primary Care. This team, consisting of methodologists, statisticians, and data scientists, contributes
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biostatistical analyses of preclinical and clinical studies. Maintaining accurate data identified as relevant and/or best practice systems from research results obtained through national studies. Participating in
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Qualifications Minimum Education and Experience Certifications/Licenses Required Knowledge, Skills, and Abilities Master’s Degree in Epidemiology, Biostatistics, or a related field One (1) year of relevant work
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You will have or be close to the completion of a PhD/DPhil in epidemiology, biostatistics or big data, along with demonstrable experience of working with population registers and large datasets. With