26 engineering-computation-"https:"-"https:"-"https:" Postdoctoral positions at KINGS COLLEGE LONDON
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project, an ambitious programme developing medical-grade nanoneedle bandages to deliver life-changing gene therapy for patients with recessive dystrophic epidermolysis bullosa (RDEB). This is a unique
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to cutting-edge efforts to predict and understand psychosis and affective disorders. We welcome applicants with a background in psychology, psychiatry, biomedical engineering, or related disciplines who
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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
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& technology studies, development studies); Strong research profile for career stage, as demonstrated through lead authorship of well-placed publications; Excellent interpersonal and communication skills
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‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of
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. The successful candidate will work within a multidisciplinary team to unravel the metabolic drivers of HCC biology and transplant rejection through cutting-edge spatial multi-omics and computational metabolic
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interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join the Computational Humanities research group, a vibrant and collaborative
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tissues Knowledge of bioinformatics or computational analysis Evidence of successful collaboration in multidisciplinary projects Downloading a copy of our Job Description Full details of the role and the
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and
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-mediated homologous recombination and transposition. Competency in imaging technology, such as confocal microscopy and fluorescent live cell imaging, in particular calcium imaging. Experience with