631 parallel-computing-numerical-methods-"DTU" Fellowship research jobs in United Kingdom
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conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional simulation
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. You will conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional
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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 Electronic Health Records from people
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future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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ambitious plans to deliver an innovative research programme, positioning them to be future leaders in their field. For the Associate Professor and Professor roles, we expect applicants to be established
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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opportunity for an enthusiastic and motivated postdoctoral Computational Biologist to contribute to multimodal data integration as part of a translational genomics programme within the group led by Professor
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. We have an exciting opportunity for an enthusiastic and motivated postdoctoral Computational Biologist to contribute to multimodal data integration as part of a translational genomics programme within
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. This interdisciplinary collaboration with the University of Lincoln and University of Liverpool focuses on developing innovative computational approaches that integrate advanced genomic analysis with state-of-the-art