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. Project Title: Applying machine learning algorithms to datasets to predict outcome for paediatric solid organ transplant recipients. Review of the Key Literature: Predicting outcomes after paediatric solid
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-termWorking TypeHybridAvailable for SecondmentNoClosing Date14-Jun-2024 A four-year PhD Studentship in Pharmacometrics and Machine Learning funded by the UKRI EPSRC and GSK is available within the Institute
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Algorithms for Data . About you: You will be interested in researching innovative combinations machine learning, statistics, and data science with a strong commitment to pursuing applied research in a
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will initially be focused on developing and evaluating machine learning and statistical modelling tools to predict and classify disease trajectories using large scale health records databases to answer
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one of the following domains are highly desirable: deep learning models on natural language processing or computer vision, advanced analysis of fMRI using encoding or decoding models, computational
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have a PhD in a relevant area as well an appropriate track-record of high quality research outputs in the field of Artificial Intelligence / Machine Learning, and clear and ambitious plans for future
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of experts in machine learning and colour vision, including Dr Alexandros Koliousis (NU London), Professor Rhea T. Eskew (NU Boston), and Professor Andrew Stockman (UCL), as well as with technical
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frameworks (MOF), a reticular class of materials for their use as excipients. The project also involves elements of machine learning models for screening appropriate excipients from FDA data base. Person
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or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable
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its potential. Our degree programmes recognise the ever-increasing importance of computer systems in fields such as commerce, industry, government and science. About the role UCL offers a wide range of