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must be an enrolled student (bachelor or master level) at University of Helsinki. The tasks include assisting the PI in project data management, e.g.: Migrating the project's existing research database
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Wellbeing Across Lifespan (SWAN) brings together expertise from the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact
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communities. The particular focus is to enhance the Joint Species Distribution Modelling to meet the challenges introduced by the analysis of ecological data collected with modern technologies and artificial
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must be an enrolled student (bachelor or master level) at University of Helsinki. The tasks include: Information acquisition from, among others, library databases, archives and the internet Ordering
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complex high-throughput data into actionable scientific insights. Position overview: We are looking for an experienced and collaborative bioinformatician to join the Biodata Meilahti team, located
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metagenomics assembly” funded by the Research Council of Finland in the research group of University Lecturer Leena Salmela. We develop models, algorithms and data structures for high throughput sequencing data
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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conditions (around 0.1 au from the Sun). By combining high-resolution remote sensing data (especially EUV spectral imaging) with advanced simulations, RIB-Wind seeks to more accurately characterize the solar
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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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information, visit the lab web pages: See also our recent publication: DOI: 10.1038/s41467-024-54445-1 Your qualifications We are looking for ambitious researchers with a PhD, a solid publication record, and