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The Machine Learning for Health team in the Data Science and Genetic Epidemiology Lab at the Institute for Molecular Medicine Finland (FIMM) , University of Helsinki, is currently seeking a highly
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within a Research Infrastructure? No Offer Description The Machine Learning for Health team in the Data Science and Genetic Epidemiology Lab at the Institute for Molecular Medicine Finland (FIMM
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parasitology cell culture work and genetic engineering (malaria or kinetoplastid parasites) is greatly beneficial but not required. • Master’s degree (or be in the final stages obtaining degree) in cell
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the University of Jyväskylä’s extensive datasets and ongoing projects. A particular focus is the second phase of the Genetics, Lifestyles and Health (BioRecall) recall study conducted in collaboration with
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models using sophisticate genetic tools, in vivo time-lapse imaging and multi-omics methods to decipher the underpinning mechanisms of regeneration. Our findings provide new targetable mechanisms
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be provided), previous experience is beneficial. Prior experience in parasitology cell culture work and genetic engineering (malaria or kinetoplastid parasites) is greatly beneficial but not required
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scholars at the department work with a variety of thriving directions in literary studies, e.g. literature and emotions, ecocriticism, genetic criticism, and empirical and computational literary studies
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of the MET faculty, determined by the research profile and interests of the selected applicant. In BIO unit, research focuses on fundamental cellular processes and immunology. We utilize molecular genetics
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, developmental biology, genetics, biomedicine, or another appropriate field. Previous experience in confocal imaging and image analysis, scRNA-seq data analysis, or genetically engineered mouse models is
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Researcher to join our Pediatric Neurology Group in the Clinical Research Unit, Faculty of Medicine, University of Oulu. We have a solid background in studying genetic causes and molecular mechanisms behind