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Field
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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collaboration with our wet-lab team and collaborators, you identify and integrate validation data In collaboration with the VIB.AI ML unit, you manage a large codebase containing the harness, interpretation
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information for two referees. One of these should be the main advisor for the master's thesis or PhD thesis; • CV; • Transcripts and diplomas showing completion of the bachelor's and master's and PhD degrees
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in Finland in its area and 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
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for the Evolutionary Understanding of Human Diseases (Apollo). Information on the department can be found at https://globe.ku.dk . Our research The APOLLO Ancient Genomics Initiative is a pioneering research program led
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concordance and adverse health outcomes using large -scale healthcare datasets. Working collaboratively with clinicians, researchers, patient partners and data specialists to ensure scientific quality and
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physicsYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in physics, magnonics, or a related field. • Good written and spoken English communication skills. • Experience in
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researcher who enjoys developing methods for complex biological data and working closely with experimental scientists. You meet the following criteria: a PhD, or a PhD close to completion, in machine learning
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, experimental scientists and clinicians What we’re looking for PhD in bioinformatics, computational biology, or related field Experience in analyzing biological data, especially proteomics data Strong knowledge
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and