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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 9 hours ago
equivalent qualification in computational, biological or related scientific discipline; Knowledge of RNA biology and willingness to stay up-to-date with RNA science; Knowledge of the Python programming
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, multicomponent international research programme. The first of its kind in the world, supported by Inkfish with £35M core funds over six years. It is a global study of 60,000 participants, including 20,000 mothers
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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influencing skills Detailed understanding and experience of setting up and project managing/ leading a complex multi-partner programme similar to the EMBRACE programme Proven excellent written and spoken communication
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and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and Language Sciences, Education, Psychology
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Language Models (LLMs), including fine-tuning, is highly desirable. You will have experience with an object-oriented and or functional programming language. Interview date: To be confirmed For informal
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supervisor to discuss. Online applications are made by clicking the 'Apply' button, above. Please select Aerospace Phd on the Programme Choice page. You will be prompted to enter details of the studentship in
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- Stratification of Therapies through Adaptive Responses (CRC-STARS) is a CRUK strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced
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supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine learning