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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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for future research collaboration. • To plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects. • To deliver training
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) Country United Kingdom Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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English. Programming skills (e.g. Python, R). Ability to work in teams and high social/communicative skills. Strong interest in planning, carrying out, and presenting independant research. High commitment
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English Ability to work independently and collaboratively in a research team Preferred Qualifications III-V laser epitaxy design and simulation experience Experience with III-V semiconductor processing and
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. Engage in professional development through relevant training programs aligned with project needs and personal aspirations. Assist with the supervision of student project work and provide day-to-day support
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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore