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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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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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for large-scale pan-cancer multiomics data. We build on our previous work (e.g., Sanjaya et al. Genome Medicine 2023 ; Pohjonen et al. arXiv 2024 ), developing the new models on the LUMI supercomputer and
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The objective of the research project is to update the methods for monitoring carbon sinks in the land use sector to obtain more accurate information about the status and changes in carbon stocks