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of data-driven precision tools, seeking to improve on current paradigms for clinical risk predictions and individualized diagnostic paradigms. Improving atherosclerotic risk prediction has been a primary
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computational drug metabolism project in collaboration with AstraZeneca and Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers
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: Knowledge of theory of population genetics Experience with analysis of whole-genome DNA sequence data (Nanopore, PacBio, and/or Illumina) Experience with the generation and analysis of sequence data from
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research field Excellent written and spoken English Merits In addition, experience in the following areas will be considered: Knowledge of theory of population genetics Experience with analysis of whole
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the main supervisor for this position, he is a new DDLS-fellow with background from Massachusetts Institute of Technology and Chalmers University of Technology. Professor Rickard Sandberg at the Department
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method for understanding complex genomic alterations. While sequencing technologies have made a leap forward, work is still needed on the computational side to fully use the technology. This is an
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry – BMC The Department of Chemistry – BMC conducts research and education in analytical
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry – BMC A position as researcher in Synthesis and analysis of alicyclic carboxylic
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machine learning, engineering, data sciences, applied mathematics, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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Master Programmes, at the Faculty of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made