166 parallel-and-distributed-computing-phd-"Multiple" positions at King's College London
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affected by structural inequality in higher education. Experience of leading a team to deliver projects or events. Experience of leading a programme or project to change the way people behave, think or act
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individual and collective wellbeing. Employee support at King’s includes flexible working arrangements, paid maternity/shared parental leave, menopausal support, an active wellbeing programme, training and
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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opportunity to develop a career in Digital Education. These critical roles will support the wide cohort of students (both internal and external), our programme administration and teaching teams by ensuring
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS
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generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience
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is based at St Thomas’ Hospital campus. Staff and PhD students focus on engineering better health. About The Role The post holder’s primary focus is to engage with our local community in Lambeth and
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time. However, the underlying immune mechanisms of oral tolerance induction to peanut are not well understood. In this research programme, we will use unique samples from young children undergoing