645 parallel-computing-numerical-methods-"DTU" Fellowship positions in United Kingdom
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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will also address structural powerplant design and integration, refining computational methods to use high-fidelity aerodynamic data for accurate load prediction and system-level design decisions. About
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methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise, business
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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Experience in applying computational methods to research questions in political communication and gender Ability to assess research and project resource requirements and use resources effectively Understanding
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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ABOUT THE ROLE We are seeking a highly motivated Research Fellow to join our 23-month project evaluating the 'Making Every Contact Count' (MECC) programme in Bolton. This programme aims to improve
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July 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Role
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics