8 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"FEMTO-ST" "Dr" Fellowship positions at University of Birmingham
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Klebsiella pneumoniae. The Research Fellow will be a member of Dr. Michelle Buckner’s lab, which sits within the School of Infection, Inflammation, and Immunology, and the Department of Microbes, Infection
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the inflammatory response. The candidate will join the close-working groups of Dr Sally Clayton and Prof Sarah Dimeloe in the Department of Immunology and Immunotherapy, College of Medicine and Health
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postdoctoral research associate to join our multidisciplinary team led by Dr. Rossiter, including clinicians, bacteriologists, structural biologists and advanced microscopy and imaging specialists. The project
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of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
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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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and use resources effectively Contribute to the planning and organising of the research programme and/or research project Co-ordinate own work with others to avoid conflict or duplication of effort DBS
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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and/or experience in investigating sleep within the context of mood disorders. The successful candidate will work closely with Professor Marwaha and Dr Isabel Morales-Muñoz, within the Mood Disorders