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undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website . The project will be led by Ida-Maria
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students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website . The project will be led by Professor Nataša Sladoje
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worldwide, with many types showing resistance to standard treatments, posing significant challenges for healthcare and research. There is growing interest in microsystems that can replicate the local
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for existing medications, a strategy that can significantly reduce the time and cost required to bring a drug to market. The project will use AI models such as CycleGANs, that by learning from complex spatial
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, biophysics Machine learning and generative AI Molecular modeling and molecular dynamics simulations LNP formulation and characterisation including e.g. small angle scattering, microscopy, single particle
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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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and third cycle courses. The work duties can also include teaching and other departmental duties (not more than 20 % of full time). Requirements To be eligible for doctoral education, a basic higher
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and experiences. We regard gender equality and diversity as a strength and an asset. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-yr initiative funded with
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networks to push causal understanding of atherosclerotic plaque instability from clinical observation, to molecular understanding, and back to an improved diagnostic reality. Herein, participation in
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The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily