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interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic
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questions in human disease and health. Our work focuses on Alzheimer’s disease, cancer, and heart disease, which could have a major impact in identifying real-world big data-driven diagnostic biomarkers and
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to contribute to a world-leading project on Survey Data Collection Methodology Survey Futures https://surveyfutures.net/ . Survey Futures is a collaboration between nine universities and three survey
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the project/work tasks: Advanced data management on large datasets to facilitate data for statistical analyses Design and plan analyses Make efficient analysis pipe-lines in the statistical software R
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the direction of Dr Maslovskaya, you will be part of a large multi-institution team of survey data collection methods experts in the UK. You will analyse probability-based NatCen online panel data collected using
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School of Public Health i Boston with Associate Professor Jannicke Igland as local principal investigator at the University of Bergen About the project/work tasks: Advanced data management on large
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the position. For more information see: http://www.uio.no/english/research/phd/ Personal skills Self-driven and highly motivated about fundamental science. Very good communication and collaboration skills. Want
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expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security and environmental sustainability while working in a
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, translational research, and ultimately by influencing public policy and professional practice. We are seeking two Research Fellows in Epidemiology to work on the data analysis and paper writing of the Natsal
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3rd August 2025 Languages English English English PhD Research Fellow in Data Science Apply for this job See advertisement This is Western Norway University of Applied Sciences With about 17,500