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group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups at KTH, at KI, and internationally within two EU projects and a new collaboration
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researcher to work with Dr. David Marlevi and co-workers on the use of machine learning and physics-informed analysis for improved hemodynamic risk prediction using four-dimensional flow magnetic resonance
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Unix/Linux environment. Additionally, the applicant must be at least familiar with R. Experience with mainstream machine learning and statistical methodologies. Experience with scientific code
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publications in Nature, Lancet Digital Health, Radiology, MICCAI, among others. Our group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups
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mechanisms, biomarkers and drug targets for early diagnosis and prevention of cancer. Your duties include performing machine learning and statistics on such mechanisms, biomarkers and drug targets under
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biology and machine learning to study RNA life? Come and join us at SciLifeLab. Your mission The available Research Assistant position concerns developing and applying novel genomic approaches to study
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for a highly motivated individual with a solid background in nutrition and research experience in bioinformatics, particularly in single-cell data integration and machine learning. You should have an in
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biology and machine learning to study RNA life? Come and join us at SciLifeLab. Your mission The available research engineer position concerns developing and applying novel genomic approaches to study gene
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, advanced behavioral methods, machine learning and eye tracking (simultaneously in two participants) will be used to identify cues that the brain uses to determine another person’s direction of covert
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collectively offer expertise in computational biology, genetics, epidemiology, and machine learning. The research will be closely linked to the WISDOM project, an EU-funded initiative coordinated by the main