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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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computational drug metabolism project in collaboration with AstraZeneca and Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers
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nanoparticle (LNP) understanding and its design. This research will focus specifically on enhancing targeted delivery systems for immunotherapy applications, representing a cutting-edge frontier in drug delivery
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or bioinformatics. Alternatively, you have gained essentially corresponding knowledge in another way. You should have an interest in research and science as well as biology, chemistry, pharmacology, cancer and drug
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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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stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad
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, within the Centre for Image Analysis at the Department of IT and conducted alongside researchers developing computational methods with a particular focus on deep learning and image analysis. The project
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synchrotron-based time-resolved X-ray solution scattering of ATP-dependent protein reactions with significant contributions to the field both with respect to experimental design and high-performance computing