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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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for the support of telepresence applications. You should have or be working towards a PhD in computer science, networks or communications. You will have the ability to learn quickly, with excellent communications
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qualification in Computer and Data Science A master's degree or PhD [awarded in computing or a closely related discipline will be an advantage] Proven work experience with the development of ML Proficient in
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, MATLAB) Strong knowledge of intelligent sensing, system integration, and cloud computing Demonstrated ability to produce high-quality research outputs Experience with collaborative research, ideally
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drivers for the future growth of data in Ensembl. You have A Master’s or PhD in genetics, genomics, or bioinformatics. Experience managing medium-sized teams, cross-team coordination and working within
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research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers
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research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers
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should have or be working towards a PhD in computer science, networks or communications. You will have the ability to learn quickly, with excellent communications skills and the ability to collaborate and
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for different research applications Knowledge of computer programming languages Experience of working in a high-performance computing environment (e.g. Slurm) and/or with public/private clouds (e.g. AWS/Azure
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No of positions: 1 This 3.5 year PhD project is fully funded at UK rates; the successful candidate will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be