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, including cutting-edge facilities for cryogenic electron microscopy (cryo-EM), light microscopy, sequencing, and proteomics. For more information, please visit https://www.helsinki.fi/hilife/bi . The position
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: Has a doctoral degree - the degree requirement must be met by the beginning of the employment Has a strong methodological background in agent-based modelling, systems dynamics, network analysis
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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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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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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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use Finland-wide remote sensing resources from one of the consortium members, Finnish Geospatial Research Institute to monitor tree growth in Finland and combine this information with whole genome
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, including cutting-edge facilities for cryogenic electron microscopy (cryo-EM), light microscopy, sequencing, and proteomics. For more information, please visit https://www.helsinki.fi/hilife/bi . The position
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expertise (max. 2 pages) A research plan (max. 3 pages) A statement (e.g. university portfolio) on the applicant's scientific activities, including research funding obtained (max. 3 pages) Further information
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democratic literacy, understanding and promoting convivial multilingualism, and opening new methodological horizons. A strategic emphasis on data and AI supports reaching these aims. DIVSOL is led by
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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations