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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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glioblastoma models, cerebral organoids and single-cell epigenomics to understand how epigenetic heterogeneity drives treatment resistance and recurrence. The post holder will lead the experimental programme
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Award . Role This position is part of a new Advanced Research + Invention Agency-funded project, subject to contract negotiations, part of the Accelerating Adaptation programme (see https://aria.org.uk
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Research Assistant or Postdoctoral Research Associate About the Role The School of Electronic Engineering and Computer Science at Queen Mary University of London seeks to recruit a Research
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of resistance in high grade serous ovarian cancer. They will lead computational aspects of our work, strengthening our informatics expertise and working collaboratively with team members to develop new
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well as flexible working arrangements. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment
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well as flexible working arrangements. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment
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About the Role We are seeking an enthusiastic and highly motivated Postdoctoral Research Associate to join a BBSRC-funded research programme investigating how immune and metabolic pathways interact
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About the Role Applications are invited to join an ERC-funded research programme. The successful candidate will work at the interface of bioelectronics, mechanobiology, and disease modelling
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About the Role We are seeking an enthusiastic and highly motivated Postdoctoral Research Associate to join a BBSRC-funded research programme investigating how immune and metabolic pathways interact