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University of California Agriculture and Natural Resources | Davis, California | United States | about 2 months ago
data analysis, data management, data systems development, data visualization, and reporting of organizational, policy and environmental data and individual level data for studies of nutrition, physical
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 15 days ago
University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies Duties The PhD education in Medical Science comprises carrying out a scientific project
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of phosphoinositide 3-kinase (PI3K) signaling in allergy, metabolic control, obesity, diabetes and cancer; see https://p3.snf.ch/project-189065 ii) developing and validation of novel chemical probes and degraders
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the Associate Dean, Graduate Programs. Strategize competitor positioning, scholarship practices, and program changes across the peer school set. Maintain the lost-reason analysis: which schools Olin loses
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, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers
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organisations. Conduct regular agent training, performance reviews and business planning sessions. Expand and strengthen the University's global recruitment network to maximise market reach and conversion. 3
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, particularly artificial neural networks, and deep learning? And you would like to continue your research on clinically relevant topics? If yes, then Maastricht University has a new challenge for you! Postdoc
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in epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in
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solution-phase quantitation and digital image analysis, and human cell culture projects. Organize and maintain databases on research projects and navigate the laboratory and pathology computer networks
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and data science. This cycle's focus is on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed