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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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innovative facilities, specifically designed for nuclear experiments. Multidisciplinary research: Your PhD is inextricably linked with other areas of expertise, either because of the versatile character of
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, PhD students, a lab technician and a research officer to join the international lab of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology
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, develop, and apply innovative approaches for microbiome research. The main foci of this position are to advance function based study of the interactions of prebiotics, drugs and other xenobiotics with
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students, as appropriate. • Ensure course content aligns with program-level academic goals and current developments in microbiology, immunology, and public health microbiology. • Assist with the coordination
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Reality Innovation Lab)—which serve as regional and national testbeds for AI-driven technologies. Candidates will possess a PhD in Artificial Intelligence, Computer Science, Software Engineering, or a
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them to optimize any results, working to obtain new tool compounds and drug candidates. Leveraging state-of-the-art computational methods, including structure-based ultra-large virtual screenings
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gut hormone receptor drug discovery programme. The successful candidate will help lead on in vitro pharmacology and in vivo testing and will also be involved in peptide ligand design process alongside
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, an Assistant Professor teaching in the Graphic Design program is required to teach undergraduate courses in Graphic Design, maintain an active creative practice/research agenda, and participate in
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to develop vigorous research programs cross cutting the fields of small molecule synthesis, drug design, drug delivery, and pharmacokinetics, toxicology, biochemistry, chemical biology, or biomaterials