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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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of vegetation, presenting the ability to derive the internal functional traits and physiological properties of trees. This PhD position focuses on developing a method to capture localized measurements of water
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understanding their pharmacokinetic properties including how the compounds are metabolized to ensure safe and effective drug development. Data-driven life science (DDLS) uses data, computational methods and
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The PhD student will use state-of the-art methods such as cryo-electron tomography of cells/tissues and biochemical reconstitution to study the replication of positive-sense RNA viruses. This is a vast
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metabolomics analyses, bioanalytical techniques, methods at the interface of Chemistry and Biology, and biomarker discovery. Our team is currently searching for a highly motivated and enthusiastic PhD student
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qualifications and merits for the position are: • Knowledge and experience on image processing or computer vision • Knowledge and experience on generative AI • Knowledge of data driven methods for modelling and
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the Arabidopsis graft junction during tissue fusion. The project will combine different methods in molecular biology, confocal microscopy and cell wall biology. We anticipate that this project will provide valuable
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long-lasting adverse health effects in humans and wildlife is also performed. For more information see www.iob.uu.se Data-driven life science (DDLS) uses data, computational methods and artificial
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their results from the GMAT (and/or GRE) and TOEFL tests if available. Documented skills in using quantitative methods such as Mathematics and Econometrics is a merit. Application The application shall contain
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. Of particular interest is the investigation of compositional methods for constructing runtime monitors. The candidate will build on the latest advances in formal methods and learning theory, to develop methods