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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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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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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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Application Deadline 21 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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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
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Master's degree or Diploma, programme in natural sciences or equivalent aptitude. Didactic competences / experience with e-learning Excellent command of written and spoken English (C1 Level), futhermore good
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report to the Chief Investigator of the PRANA research programme. Duties and Key Responsibilities Utilise Python / SQL / Languages to create automated data flow pipelines from multiple sources into a