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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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. Rocío Mercado Oropeza, applies machine learning to molecular engineering problems in life sciences and drug discovery, and is based in the Division for Data Science and AI within the CSE Department
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processes with applications in drug development directed towards heart failure and antimicrobial resistance. The position is for four years of doctoral studies, including participation in research and
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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
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School. 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 and
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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