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Field
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points for drug-discovery. However, methods to interrogate and manipulate PPIs are not well established. Moreover, intrinsically disordered regions – segments of protein with no fixed structure
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, equipment, and travel related to the project. Overview Machine learning aims to transform the drug discovery landscape through the prediction of potential new therapeutics with unprecedented speed and
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PhD Studentship: Integrating computational physics-based simulation and machine learning with drug discovery pipelines Award Summary 100% home fees covered, and a minimum tax-free annual living
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– [email protected] Project summary Drug discovery pipelines are driven by iterative cycles in which molecules are designed, synthesised, purified and tested. A remarkably limited toolkit of reactions
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an integrated NMR-AI platform with applications in drug discovery and protein engineering. Job Type: Hybrid, full-time (FTE 1.0) with a flexible working schedule. Above-average PhD salary that will reflect
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View All Vacancies Chemistry Location: UK Other Closing Date: Thursday 29 February 2024 Reference: SCI255 A fully funded, four-year PhD studentship is available to work with Dr Liam Ball
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, drug discovery and development for rare diseases. Our innovative and ambitious joint-PhD program will train highly qualified young scientists in new scientific and technological knowledge. At the end
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critical challenges in the field of organoid technologies for disease modelling, drug discovery and development for rare diseases. Our innovative and ambitious joint-PhD program will train highly qualified
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of the PhD project is to develop computational approaches to identify small molecule and peptide ligands that target therapeutically relevant receptors, with the vision to accelerate the drug discovery process
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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