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modellers using advanced simulations to interpret and validate observations via data assimilation. There will be opportunities to spend time with project partners at UCLA (Prof. James McWilliams) and attend
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, population health monitoring, workforce development and leadership, policy, and advocacy. Background The Robotics, Autonomy and Machine Intelligence (RAMI) Group led by Prof Nabil Aouf is dedicated to fulfil
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Athina Spiliopoulou, Prof Paul McKeigue, and Dr Andrii Iakovliev, and with postdoctoral researchers and students in our team. They will also interact and collaborate with academic, clinical and industry
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Is comfortable with with javascript, python and React for iOS and Android Experience with/interest in electronics (pi’s/Arduinos) to develop physical, peripheral and environmental interactive devices
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Clinician Scientist Fellow) and Neuroscience and Mental Health Group (co-led by Prof Jon Roiser, Professor of Neuroscience and Mental Health). The post is based in the Research Department of Clinical
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for an enthusiastic and highly motivated Research Fellow to join the world-leading tuberculosis (TB) Modelling group at LSHTM. The successful candidate will be supervised by Dr Rebecca Clark and Prof Richard White and
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for an enthusiastic and highly motivated Research Fellow to join the world-leading tuberculosis (TB) Modelling group at LSHTM. The successful candidate will be supervised by Dr Rebecca Clark and Prof Richard White and
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manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
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the Methodologies Used to Incorporate Non-randomised Evidence in Healthcare Decision-making” project (Chief Investigator: Prof. Kate Ren ) aims to develop innovative statistical and causal inference methodologies
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Language Sciences. The lab comprises of a team of researchers and PhD students led by Prof Ayelet N. Landau. We research the psychological and neural mechanisms of attention, time perception with a specific