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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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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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communication skills and preferably experience of using Python and machine learning in an applied context, preferably in a healthcare environment. This role is a part time (7.3 hours per week) fixed term
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costs of their project. We will support two students, one in the area of health data science/epidemiology/statistics and the other specialising in applied machine learning and informatics. The closing
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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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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
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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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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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the department. Areas that we aim at covering include but are not limited to: AI and Machine Learning, with interest to ground, aerial, and marine robots. About you You should have a PhD in Robotics, AI, or a
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Masters degree in computational/cognitive neuroscience, cognitive science, experimental psychology or related discipline. Computer programming skills in one or more languages (eg Matlab, Python, R) and a