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cross-disciplinary team of scientists, including pharmacologist, biomedical engineer and mathematical modeller under a Wellcome Trust funded research programme. You should have a PhD degree in stem cell
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cross-disciplinary team of scientists, including pharmacologist, biomedical engineer and mathematical modeller under a Wellcome Trust funded research programme. You should have a PhD degree in stem cell
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. The work form part of a Wellcome Fellowship project run by Dr Clarke. The post holder will be responsible for their own research project within this research programme. The project aims to develop a robust
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funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and pharmaceutical industry
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funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and pharmaceutical industry
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An exciting opportunity has arisen at the University of Manchester from the Wellcome Discovery Award ‘Developing Humanitarian Medicine (DHM): From Alma Ata to Bio-Tech, a History of Norms, Knowledge
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scanner. You will have or be close to the completion of a PhD in Neuroscience, Engineering, Physics, Maths, Computer Science or relevant area. Experience in data analysis, particularly using machine
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that contributes to a major new collaborative programme focused on Africa's First Referral Hospitals. To support this emerging set of work, you will work closely with Prof. Mike English and Dr. Jacquie Oliwa (based
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/projects. The majority of the time (70% FTE) will be spent on work that contributes to a major new collaborative programme focused on Africa's First Referral Hospitals. To support this emerging set of work
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Postdoc in CRISPR Meta-Analytics and AI for Therapeutic Target Discovery and Priotisation (OT Grant)
solutions. Situated in the Computational Biology Research Centre of HT, the Iorio Lab operates at the intersection of biology, machine learning, statistics, and information theory. Our goal is to comprehend