447 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Fellowship positions in United Kingdom
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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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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 with epilepsy across multiple NHS
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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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single-use plastic packaging? Do you have experience in Process Systems Engineering and Sustainability? Are you keen to develop your career in optimising novel material supply chains? Achieving a
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We are delighted to welcome applications for the position of Research Fellow within a new ERC-funded research group on Political Process Preferences in Europe (PoPPiE): Rethinking Conceptual
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things differently – and achieving notable results. We are now seeking an enthusiastic Postdoctoral Research Fellow in Biological Signal Processing to work within a diverse research team under Prof
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. They will work on developing novel computer vision methods to improve decision making. The project will provide an opportunity to collaboratively work with computational scientists, pathologists and clinical
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recurring theme of doing things differently – and achieving notable results. We are now seeking an enthusiastic Postdoctoral Research Fellow in Biological Signal Processing to work within a diverse research
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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frameworks (e.g. PyTorch, TensorFlow) and relevant libraries. Practical experience in scalable data processing, including the use of parallel computing, cloud platforms, and distributed systems for efficient