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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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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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About the Project This PhD project aims to develop personalised conversational systems by leveraging user simulation, supported by recent advancements in large language models with their strong
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; Xi'an Jiaotong - Liverpool University | Southampton, England | United Kingdom | about 14 hours ago
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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on recent developments in computational polymorph prediction and nucleation modelling that benefit from synergies between statistical mechanics, machine learning and computational chemistry, and will develop
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and collaborate with a strong multidisciplinary team of academics at University of Southampton and experts from University College London. Person specifications: Master degree in machine learning