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(second-cycle) degree in pharmacy, or a Master’s degree in drug discovery and development or a related discipline, or - have completed at least 240 credits in higher education, with at least 60 credits at
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modelling and simulations, PKPD, in vitro ADME models, advanced in vivo methods, development of biological medicines, as well as patient and societal aspects, from optimizing the use of drugs in individuals
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the drug discovery process. The project will be focused on addressing several challenges in structure-based drug design using artificial intelligence. Recently developed techniques for the prediction
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drugs account for a significant portion of newly developed medicines and are also used in in vivo diagnostics. This is also true for neurodegenerative diseases, where immunotherapy with monoclonal
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modelling and simulations, PKPD, in vitro ADME models, advanced in vivo methods, development of biological medicines, as well as patient and societal aspects, from optimizing the use of drugs in individuals
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well as patient and societal aspects, from optimizing the use of drugs in individuals to societal pharmaceutical policies. Together, we form a unique cluster of academic competences within pharmaceutical science
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• Drug Delivery • Molecular Pharmaceutics • Pharmaceutics and Nanotechnology • Pharmacoeconomics • Pharmacoepidemiology • Pharmacotherapy • Social Pharmacy More information www.farmaci.uu.se Duties
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of porous materials for applications such as gas separation (greenhouse gases), water treatment, catalysis, and drug delivery. We have strong competence in the synthesis and optimization of a wide range of
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translatable drug and therapeutic targets in human tissue cohorts. The team leverages technologies including spatial transcriptomics, single-cell sequencing, and machine learning. The person selected