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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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Northern wetlands emit large amounts of methane (CH4), a potent greenhouse gas. There are high uncertainties in the estimation of wetland CH4 emissions due to the large temporal and spatial variations in CH4
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Pipsa Saharinen’s research group at the Translational Cancer Medicine Research Program at the Faculty of Medicine, University of Helsinki and Wihuri Research Institute invites applications
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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equality, diversity, inclusion, and well-being. Finland is a member of EU, has high quality free schooling and generous family benefits and healthcare. The University of Helsinki offers comprehensive
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background in population genetics and you’ve been looking for a project where you can study adaptation and trait architecture in high spatial and genomic resolution? We are seeking two postdoctoral researchers
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of Forest Sciences. Applicants must have strong evidence of research, teaching, and thesis supervision in the field. Successful performance in the position requires the applicant to have research and teaching
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the candidate can start in autumn 2025. Background Our group develops and applies systems pharmacology strategies to design rational combinatorial therapies for cancer. We combine both computational (dry-lab) and
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feed in scientific results for the national and international environment and climate policy. It performs multiscale research from molecular to global scale and focuses on climate change, air quality
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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