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probably fair to say that an artificial neural network can perform better than a human in any environment it has complete knowledge of. These developments however impose growing demand on our computing
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the tunability and cell permeability of small molecules. Working with members of the Lovell lab, the successful candidate will contribute to the development of next-generation macrocyclic inhibitors designed
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part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional
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project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT).” 3D-CAT is a new Faraday Institution research project lead by Oxford Materials (Professors Robert House
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develop new scientific techniques, and test hypotheses and analyse scientific data from a variety of sources. You will contribute ideas for new research projects, develop ideas for generating research
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to Professor Caroline Wilkinson at c.m.wilkinson@ljmu.ac.uk In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as
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international team - including Dundee, EMBL-EBI and German Bioimaging - to develop next gen file format strategies and data management for existing large complex multimodal human tissue bioimaging datasets at KCL
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-molecule inhibitors. The postholder will use structural, biochemical and microbiological data to inform molecule design, generate and test hypotheses, and develop new synthetic methodologies. Alongside
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processes. Apply and further develop qualitative research methods (e.g., interviews, case studies, archival research) in the design, execution, and dissemination of international business research. Actively
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existing and developing new scientific techniques; contributing ideas for new research projects; collaborating in the preparation of scientific reports and journal articles and occasionally present papers