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, molecular biology, immunology, pharmacology. Attention to detail, ability to record and manage large data files, and ability to coordinate assignments on a day-to-day basis. Contact information for three
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associate. We are conducting several large randomized clinical trials, cohort studies, and surveillance programs, in India, Latin America, and the United States related to nutrition, infectious diseases, and
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planning and control concepts to organize customization in secondary education. A large groups of schools and other external partners provide the opportunity for interfacing research and implementation
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experience. Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all
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responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data
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on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and
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Post-Doctoral Data Science Research Fellow Oxford Centre for Diabetes Endocrinology and Metabolism (OCDEM), Churchill Hospital, Old Road, Headington, Oxford, OX3 7LE We are seeking an enthusiastic
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or related disciplines. They should have i) a strong quantitative background; ii) experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; iii) demonstrated expertise in
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interdisciplinary study that will assess the pre-/and post-radon concentrations following deep energy-retrofits scenarios of the large-scale national renovation strategy. INFORM will utilise a building physics model
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, or a related field completed before the start date of the position Demonstrated experience with astronomical data analysis and software development Proficiency in Python programming Experience with large