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skills in programming, signal analysis and algorithms. Excellent/good skills in spoken and written English. Advantages Ability to work independently, formulate and solve research problems, and communicate
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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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physics. Our experimental responsibilities include trigger algorithms and performance, detector calibration, and jet energy corrections. The two appointed candidates will work within the research project
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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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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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background in population genetics and you’ve been looking for a project where you can study adaptation and trait architecture in high spatial and genomic resolution? We are seeking two postdoctoral researchers
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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
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wildlife species in boreal ecosystems is expected. Established knowledge of boreal ecosystem functioning, predator-prey interactions, large carnivore ecology, population genetics, population modelling