7 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM" Fellowship positions at University of London in United Kingdom
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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to the design, nanofabrication and exploration of superconducting quantum devices. The post holder will work on the design, development, fabrication and implementation of superconducting quantum devices
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comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements
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demonstrate a commitment to quantitative research and methodological development. The post holder is also expected to be proficient in French (spoken and written) to facilitate regional collaborations and data
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scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we
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impacts (including their compound effects) on maternal and child health service use, and identify risk thresholds and drivers of vulnerability. The Research Fellow will also support the development
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multidisciplinary collaboration between LSHTM, the Met Office, Oxford Brookes University, UCL, University of Exeter and University of Leeds that will inform the development of solutions for temperature-related health