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substantial body of work already performed by this team, but the main objective is to enable these calculations to find use in the early hit-to-lead stages of drug-design. This is a full-time fixed-term post up
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body of work already performed by this team, but the main objective is to enable these calculations to find use in the early hit-to-lead stages of drug-design. This is a full-time fixed-term post up
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the ability to independently plan and manage research projects as well as the ability to manage and ensure quality assurance of clinical trial data and human research samples. Experience of isolation
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of deep learning, drug design and engineering biology. Your skills and attributes for success: Strong track record in machine learning or statistical learning applied to biology, preferably in protein
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national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the prevention and treatment of human
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use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the prevention and treatment of human disease in 'real world' (routine practice) conditions. As
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management skills, with the ability to plan and prioritise own workload to meet project targets. Desirable criteria Experience with large datasets. Understanding of biomarker and drug discovery. Familiarity
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the expectation that you will be able to write protocols, contribute to the design of experimental plans and develop new scientific techniques. It is essential that you hold a PhD/DPhil (or close to completion) in
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detailed research proposals to senior researchers. Additionally, you will execute bench level experiments with the expectation that you will be able to write protocols, contribute to the design of
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implement the technological advances to realise the potential of mass photometry as a transformative biophysical tool for molecular biophysics, drug discovery and diagnostics. The project aims at both