37 parallel-computing-numerical-methods Postdoctoral positions at KINGS COLLEGE LONDON in United Kingdom
Sort by
Refine Your Search
-
and immunome as well as clinical phenotyping in participants. The work will involve close collaboration with other team members, driving the programme on aetiopathology of neuropsychiatric disease
-
responsible for the development and implementation of a case study in a US or European city (to be confirmed), using ethnographic and qualitative case study methods under a cross-cultural research design
-
dimensions and will examine family and family life as fundamental to the waging and experience of war. The project is interdisciplinary and will utilize mixed methods. The project will have three contemporary
-
experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
-
dimensions and will examine family and family life as fundamental to the waging and experience of war. The project is interdisciplinary and will utilize mixed methods. The project will have three contemporary
-
-legal Studies, Science and Technology Studies (completed, or to be completed before post start date), or a cognate field. Experience of qualitative archival or interview-based research methods in a
-
with in vitro and intracellular persister assays, including CFU/survival-based methods and macrophage infection models, with a demonstrable publication record on Salmonella Typhimurium antibiotic
-
Institute and Centre Lead for Cancer Genomics and Computational Biology at Barts Cancer Institute, Queen Mary University of London). We welcome applications from all qualified candidates. Research staff
-
novel therapeutic strategies, and for anticipating the evolutionary trajectories of other viruses with pandemic potential. Our current research programme is structured around three central themes
-
are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area Good research skills in historical methods e.g. the ability to carry out