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Field
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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Your position A fully funded PhD position is available in the Computational Pharmacy group at the University of Basel. The successful candidate will contribute to ongoing research on the development
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Europe. Through an extensive training program, 10 PhDs will be delivered to the European R&D ecosystem, with expertise in low data ML with domain knowledge in synthetic organic chemistry and drug discovery
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wall metabolism and membrane integrity Design and synthesise small libraries of peptide analogues Screen compounds against drug-susceptible and drug-resistant clinical isolates Develop combination
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mechanisms to guide the design and formulation of nanoparticles with superior drug delivery properties. Investigate the interaction between ultrasound, nanoparticles, and biofilms to assess antimicrobial
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annually, with life-threatening consequences for immunocompromised individuals. With few antifungal drugs available and resistance on the rise, this project explores a novel strategy: engineering the fungal
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perovskite structure (BCZT); 2) develop a drug delivery system based on PCL microspheres containing anti-inflammatory agents (dexamethasone and/or other corticosteroids, amoxicillin, ciprofloxacin); 3) design
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processes, sensors and tautomeric controlled drug design, headed by Professor Liudmil Antonov. It consists 3 subdivisions, namely "Fundamental aspects of the tautomerism", "Exploiting excited state
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and develop new PDCs that have potent antitumour activity and are targeted at particular cancers. The PhD student will have and will develop skills in synthesis but will also work at the interface with
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organoids. The insights generated will speed up drug design and development and push forward our understanding of human health and disease. As a Franklin PhD student you will: Work on highly interdisciplinary