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resistance phenotypes and mobility through laboratory experiments, and developing preventive mitigation strategies that integrate computational predictions with experimental validation. The successful
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study treatment resistance in ovarian cancer. Vähärautio lab ( https://vaharautiolab.org/) at the Medical Faculty, University of Helsinki, is seeking a bioinformatician or a computer scientist with
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graph theory. Computational methods are central; the team operates a 500‑core cluster. We both compete with and leverage AI; see: https://www.aalto.fi/en/news/researcher-cracks-new-kissing-number-bounds
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communities, validating their resistance phenotypes and mobility through laboratory experiments, and developing preventive mitigation strategies that integrate computational predictions with experimental
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, multidisciplinary research team applying single-cell methodologies to study treatment resistance in ovarian cancer. Vähärautio lab ( https://vaharautiolab.org/) at the Medical Faculty, University of Helsinki
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Epitranscriptomic Regulation of Alternative Splicing for RNA Therapeutics Innovation ”. The EpiTheraRx project aims to develop computational approaches for identifying disease-relevant alternative splicing events
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Epitranscriptomic Regulation of Alternative Splicing for RNA Therapeutics Innovation ”. The EpiTheraRx project aims to develop computational approaches for identifying disease-relevant alternative splicing
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coastline and coastal structures such as breakwaters by using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against
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quantum computing, computational biology, genomics, and materials science. You will have the opportunity to delve deeply into quantum computing and contribute to high-quality research with real-world
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using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your work by further