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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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dysfunction. We combine genetic, molecular, and physiological approaches to identify and dissect the pathways that mediate these effects. The successful candidate will conduct original research using the model
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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algorithm development using Python or equivalent programming languages is considered an asset. Given the highly international and collaborative nature of the research environment, strong presentation and
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The Kaukonen research group at the Department of Medical and Clinical Genetics at the Faculty of Medicine, University of Helsinki invites applications for the position of a POSTDOCTORAL RESEARCHER
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with patient-derived clinical material. The work combines differentiation systems and organoid or assembloid models with interaction and expression proteomics, with the aim of connecting genetic variants
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societal effects of recent anthropogenic changes on the Atlantic salmon metapopulation, alongside a detailed genetic and ecological evaluation of Pink salmon invasion in the river basin and the greater
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an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human genetics and/or population health. We
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, omics and genetics. Collaborate closely with other team members, and national/ international collaborators. Assist other team members in experiment planning, data processing and interpretation of results
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of diverse information including structured medical history, demographics, clinical notes, laboratory measurements, omics and genetics. Collaborate closely with other team members, and national/ international