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regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated
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approach that includes advanced bioimaging and image analysis, cell biology and genetics, and omics technologies. Qualifications We invite applications from candidates with a background in cell and
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processes contributing to cancer. The candidate We seek a motivated candidate with a strong interest in computational cancer research, who is enthusiastic about applying deep learning methods to cancer data
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physics, applied physics, computer science or in a closely related field. MSc students near the completion of their degree are also encouraged to apply. The candidate should have: Willingness to pursue a
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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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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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Start date: Autumn 2025 Duration: 3 years, with a 1-year extension negotiable Location: Department of Computer Science, Aalto University, Helsinki, Finland Apply: Applications reviewed on a rolling
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dynamics, Numerical Modeling, Scientific Computing, Applied Mathematics, Computational Chemistry). Experience in reactive transport modelling and strong background in reactive transport processes. Experience
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Sini Laakso’s lab Autoimmune Neurology at the Translational Immunology Research Program at University of Helsinki, Faculty of Medicine invites applications for the position of POSTDOCTORAL
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-biology ), a multidisciplinary team representing a broad base in tree genetics, physiology and computational modelling. You will be co-supervised by Tanja Pyhäjärvi and Jarkko Salojärvi, who have active