16 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" Postdoctoral positions at University of London in United Kingdom
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and early diagnosis of bowel cancer. The successful candidate may supervise more junior researchers in the statistical analysis or preparation of data. They will be supported by a multidisciplinary
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About the Role We invite applications for a Postdoctoral Research Associate to contribute to the “Big Data for Cardio-Oncology” programme funded by the Wellcome Trust. The research leverages
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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resistance in colorectal cancer. We use single-cell multiomics and spatial transcriptomics data from patient samples and patient-derived organoids (Ogden et al., Cell Genomics 2025, Efremova et al. Nature
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an initial contract of 10 months, with the possibility of extension subject to funding. The main responsibilities include experimental design, Nanopore sequencing and data analysis, phylogenetics and genome
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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papers. An ability to analyse data in R, Matlab or Python is essential. The candidate will join an international, multi-disciplinary team with cross site visits throughout the project. A PhD student also
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and database synovial tissue and biospecimens. Perform histology/immunostaining (IHC/IF), RNA/DNA extraction, and gene expression profiling. Support QA audits, data analysis, and reporting. Maintain
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policy partners. About You Candidates should hold a PhD (or be close to completion) or equivalent research experience in a relevant discipline, such as health economics, labour economics, data science