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to work on related methods, including development of simulation-based analysis and computational methods. You will work closely with a multidisciplinary team, including clinicians, epidemiologists
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for success: A PhD awarded in a relevant discipline (e.g. law, social sciences, history, science and technology studies, empirical bioethics or other relevant fields engaging with qualitative research and law
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over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health
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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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values diversity acting as a role model and fostering an inclusive working culture Person Specification A First degree which should have links with informatics and science e.g. biological, biomedical
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analysis of data, leading to peer reviewed papers and/or presentation of findings at conferences Evidence of excellent scientific analysis skills Strong computer skills and knowledge of computer programming
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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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and deliver research to tight deadlines. The role will involve collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration
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joint homeostasis. The successful candidate will work in close association with other lab-based scientists and computational biologists in the Croft lab as well as collaborators in Great Ormond Street
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) the fern Ceratopteris richardii . This position will be based in the Plant Science & Food Security theme within the School of Biosciences on the University of Birmingham Edgbaston Campus. The School is part