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for a fixed term period for the duration of 1.10.2025-31.08.2029 or as agreed. This position is linked to the Research Council of Finland fellowship project MARBLOOM (More-than-human Aquatic Relations
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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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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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obtained, prior work experience, and list of possible publications and theses with links to their online versions (if available). Copy/copies of the diploma(s) of previous degree(s). Contact information
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empirical, experimental and theoretical methods, together with world-class administrative data on individuals and firms. Some of the work is done in collaboration with revenue authorities, also in African
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applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. How to apply The application should include the following
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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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recruitment portal (link Apply now or Employee login in the job announcement). Please include the following in your application: Motivational letter outlining why you are the right person for this task (max 1
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of Helsinki welcomes applicants of any gender and age, linguis-tic or cultural background, or minority group. Click this link to read about accessibility and inclusivity at our University. Contact information
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Background A 2.5-year postdoctoral position with flexible starting date is available in the Cancer Data Science group led by Associate Professor Mariike Kuijjer at iCAN Flagship in Digital Precision