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You Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing
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at the William Harvey Research Institute (WHRI , Queen Mary University of London, QMUL ), whose research aims to develop and apply computational tools to identify the genetic determinants of rare Mendelian and
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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of Immunology of Infectious Diseases, with a research programme focused on the host response to viral and/or bacterial infections, including post-infectious clinical syndromes. The post-holder will work in the
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Science, a large School with 120 academics and 70 postdoctoral research staff. There are around 1371undergraduate and postgraduate students and 233 PhD students. These are supported by an administrative and
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. The appointee will be expected to develop their own research projects within the context of the overall research programme and obtain independent research funding to support their research. The post holder would
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the School of Engineering and Materials Science, a large School with 120 academics and 70 postdoctoral research staff. There are around 1371 undergraduate and postgraduate students and 233 PhD students
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of Engineering and Materials Science, a large School with 120 academics and 70 postdoctoral research staff. There are around 1371 undergraduate and postgraduate students and 233 PhD students. These are supported
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monitoring, reporting and verification; and development of data and analysis products for clients. All of these elements will involve client and sector engagement. About You You will have a PhD in the relevant