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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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AI|ffinity s.r.o. and University of Chemistry and Technology (UCT), Prague. | Czech | about 2 months ago
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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Supervisors: Prof. Reinhard J. Maurer, Prof. Scott Habershon Summary: The drug discovery pipeline involves the screening of many molecules before viable leads are identified. This involves screening
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causal relations between genetic alterations and disease phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type
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PhD Scholarship – Understanding sleep disturbance in clients seeking treatment for alcohol use disorder Job No.: 664703 Location: Turning Point, 110 Church Street, Richmond Employment Type: Full
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Sciences Faculty of Health and Medical Sciences University of Copenhagen Denmark We are offering a PhD fellowship commencing between 1st. of October and 1st. of December 2024 The fellowship is part of