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. To make patient and research subjects’ appointments, register patients / volunteers on the required computer systems and carry out other administrative tasks as necessary to support the administration
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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. Competent computer skills including Microsoft Office packages. Ability to work in a multidisciplinary team and independently to identify and address operational issues. Good time management and organisational
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documented. There may be opportunities to train Masters and PhD students in the research group. This role requires a significant amount of experience in scientific computing and molecular simulations (see
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delivery standards. Plan, identify, and secure resources to support a successful outcome of work packages of the project Monitor resource utilisation and expenditure against budget Produce plan and budget
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annual delivery plan for the site. This is a full time post (35 Hours per week), and you will be offered an indefinite contract. About You: To be successful in this role, we are looking for candidates
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breast cancer. In collaborating with cross-functional teams, including bioinformatician, computer scientists, AI engineers, biologists, and clinicians, you will validate AI-generated insights by comparing
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teaching within medicine, dentistry and biomedical programmes Engage in progressive methods of delivering programmes in line with the King’s Education Strategy and King’s Vision 2029, using methods
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Foundations, Summer Programmes, and King’s Language Centre. This brings together international pathway provision, pre sessional programmes, pre-UG summer courses, UG summer modules, UG language modules, bespoke