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your application! We are looking for a PhD student in evolutionary genetics interested in contributing to a better understanding of the mechanisms that shape mutation rates. Your work assignments
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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and to assess how changing land conditions will affect the export of carbon compounds from land to sea Duties The researcher will be responsible for synthesizing organic compounds rich in carboxylic
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. The project will develop fundamental theory and tools that will be key for understanding biological mechanisms causing diseases that are due to gene dysregulation, such as cancer. The core of the project is a
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to study the evolutionary history of molt phenology across related species of grouse. The project will also use functional genomics to study the regulatory mechanisms of molt phenology in grouse
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supported by the SciLifeLab and Wallenberg National Program. The research group at the Department of Medical Biochemistry and Microbiology where the candidate will be joining is focusing on mechanisms and
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identify systems-level mechanisms in cancer that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. The long-term goal of our lab is to enable computer-aided design of
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vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid
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the Westenhoff group. We try to make a positive difference in society through beyond state-of-the-art research on enzymatic catalysis mechanisms with the intention to replace fossil fuels with non-carbon-based
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, Engineering Physics or similar field. Experience in flame aerosol processes, nanoparticle technology and solid state characterization is desirable. Further experience with bacterial and cell cultures is