38 phd-rehabilitation-engineering-computer-science Postdoctoral positions at University of London in United Kingdom
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at the forefront of contemporary trauma care. About You The post holder must be pursuing / completed a PhD degree or equivalent in Bio Medical Science related field. Pursuing / completed PhD degree or equivalent in
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-purposing. This role is a fantastic opportunity for someone passionate about leading innovative research and making impactful contributions to the field of computational biology. You will hold a PhD (or close
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in the ongoing drive to reduce animal use in scientific research. Applicants must hold a PhD in Cell Biology or related discipline and have a track-record of success, as indicated by first-author
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop
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at scale. About You Applicants should preferably have an MSc/PhD in Computer Science/Engineering. They should have expertise in distributed systems and computer networks. Excellent knowledge and practical
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clinical workflows and validate the established systems in tandem with clinical partners. About You You will possess a PhD (or be nearing completion) in mechanical, electrical, or biomedical engineering, or
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of Engineering and Materials Science, a large School with 108 academics, more than 250 PhD students and over 2500 undergraduate students. It is one of five schools in the Faculty of Science and Engineering at
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close to completion) in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a strong background in the synthesis and characterisation of 2D
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dynamic strain and flow fields during flight. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. Desirable competencies would include
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About the Role We are seeking a researcher for a new programme focused on improving understanding of cancer risk and developing novel multicancer risk prediction models to support cancer prevention