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studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and
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focused on long-term processes, where economic theory and quantitative methods are important methodological tools. Strong research areas at the department include economic growth and structural
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artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National
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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 and
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The Project The project focuses on understanding and improving the stability of lipid nanoparticles (LNPs) for use in vaccines. By investigating molecular interactions and structural properties
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, and research literature in a structured and reflective manner. In addition, you should have well-developed problem-solving skills and be able to analyze complex research questions, identify relevant
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this, you will conduct experimental cell culture studies, perform immunostaining on retinas from both mice and humans with α‑synuclein pathology, and analyze changes in retinal cellular structures. You will
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areas of chemistry such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment
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proficiency in English a structured, self-driven, independent approach to technical work and good collaboration skills coursework or other experiences in the following subjects are valued: optimization, linear
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syntheses, analyzing compounds using modern spectroscopic and structural techniques, and interpreting experimental data. The candidate is also expected to contribute to the development of new research