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Field
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algorithms, and validation in different human diseases. Responsibilities: • Design, implement, and evaluate novel MRSI and MRI pulse sequences for research and clinical translation. • Develop Extraction and
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algorithms for 3D meshes in a web XR context. This Knowledge Transfer Partnership (KTP) project between Smartify and the University of the West of Scotland (UWS), will deliver an AI driven system
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Science; Software Engineering; Systems & Networks; Extended Reality (XR), AR/VR, and Immersive Technologies Security / Digital forensics; Algorithms. Supervise final year projects and capstone projects
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, and documenting algorithms High degree of proficiency in spoken and written English What you can expect Fascinating challenges in a scientific and entrepreneurial setting Attractive salary Modern and
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. They will contribute to all phases of project development including conceptualization, design and implementation of algorithms, computational analysis of genomic and other omics data, simulations and testing
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, algorithm development, AI, and machine learning, supporting fusion energy engineering through advanced simulation and workflow optimisation. You will work on impactful, collaborative projects across academia
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algorithms, models, and their optimization techniques Knowledge of TensorFlow, PyTorch, etc. Effective communication (oral and written) skills, ability to write research reports and papers in style accessible
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. This motivates the paradigm of sublinear time algorithms: algorithms that are capable to doing meaningful computation by examining only a minuscule fraction of their inputs. This project will focus on carrying out
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revisit discretization methodologies in view of modern requirements and computational capabilities. The candidate will focus on developing mesh generation algorithms meeting the following criteria
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machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics. Manage and mentor a team of data scientists (internal