20 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions at University of London in United Kingdom
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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behaviour observed in laboratory studies. You will work closely with Professor Kostas Stathis (Department of Computer Science, Co-Investigator) and Professor David Levine (Leverhulme Fellow and Principal
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About the Role Applications are invited for the position of Postdoctoral Research Associate to work alongside Professor Jean-François Drolet and Professor Michael C. Williams as part of the ESRC
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Mary University of London and will work under the supervision of Professor Rachel Humphris. They will lead in-depth ethnographic fieldwork in Sweden, undertaking interviews and participant observation
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will develop and apply computational methods for the analysis of cell-free DNA (cfDNA) sequencing data, supporting a growing research program at the intersection of epigenomics and translational medicine
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under the supervision of Professor Rachel Humphris. They will lead in-depth ethnographic fieldwork in the Netherlands, undertaking interviews and participant observation to trace how welfare algorithms
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Professor Dario Farina, in the Department of Bioengineering at Imperial College London. The focus of the research will be on the development of soft actuators, from material and structural perspectives, with
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational
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significant scope for scientific creativity. You will have opportunities to publish in high‑impact journals, develop new modelling methodologies, work with high‑performance computing resources, and contribute