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sequencing data from up to 10,000 trees. We are using birches (Betula) as our model organism, as they have a relatively small genome, they are adapted to their local environments and there are accelerated
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models, algorithms and data structures for high throughput sequencing data with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
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infrastructure data to model how government policy shapes cloud geography. The position can be tailored towards qualitative or quantitative work, depending on the researcher’s background. You will also contribute
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The University of Helsinki is inviting applications for a postdoctoral researcher position for a 1-1.5 year contract depending on the starting date (the position can be started as soon as the person
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on high-performance computing (HPC) systems. Closely Collaborate with Clinicians and Wet-Lab Scientists on the experimental design and collect data for computational modelling and analysis. Engage Actively
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interaction skills are an asset. An appointee to the position of an Assistant/Associate Professor in the tenure track shall hold a PhD degree in veterinary diagnostic imaging or another suitable field, have the
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are considered a merit. Good co-operative and interaction skills are an asset. An appointee to the position of an Assistant/Associate Professor in the tenure track shall hold a PhD degree in pig medicine or other
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is identified. For additional information, kindly contact Prof. Matilda Backholm (matilda.backholm(at)aalto.fi). Aalto University reserves the right for justified reasons to leave the position open, to
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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect