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candidates will be based on their capacity to successfully complete the program. Important criteria when assessing this capacity are; documented knowledge and skill in the field of the thesis project, written
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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to the project. The ranking of applicants will be based on undergraduate grades, on the undergraduate education profile and on any additional experience of research in areas of relevance for the research project
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-made nanoaggregates as drug nanocarriers. Project description: Drug nanocarriers today rely primarily on lipid-based nanoparticles. However, these particles have limitations, for example they suffer from
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. The student will work in a group addressing all these challenges, developing new AI-based methods to improve biological realism in simulations which will lead to more accurately inferred GRNs from real data
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staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds
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of molecular pharmacology, biochemical, and cellular assays to discover new small molecule and antibody-based prototype drugs. SciLifeLab DDD maintains a semi-industrial environment within the universities where
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position based at SciLifeLab in Stockholm. The project focus on characterizing phenotypic and genomic variation associated with seasonal camouflage variation in willow grouse (Lagopus lagopus). The analysis
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS