677 postdoc-in-thermal-network-of-the-physical-building Fellowship research jobs in United Kingdom
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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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Engineering at Southampton you will benefit from the extensive network of collaborations with members of the group. There will be an opportunity to guide PhD and Master students. Funding is available initially
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technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
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. Therefore, the appointee will have a unique opportunity to develop their professional skills and build strong collaborations within industry and academia. QUB also hosts some of the most advanced AI computing
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-life environments. The Role: As Research Fellow on the COG-MHEAR project, you will have the opportunity to use your strong background in deep neural networks and multimodal hearing-aid signal processing
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Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your
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Develop skills and networks to become a successful independent researcher, including through grant writing, independent papers, consulting, trainings The skills, qualifications and experience required
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Action (BISCA) , and other strategic research initiatives such as the Met Office Academic Partnership and Birmingham’s Turing University Network . The recently renovated Elm House, is a building fully
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have achieved Athena Swan Gold Award . To help you succeed, we published Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits
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. The post is offered at 80%FTE on a fixed term basis for 3 years, beginning 1 January 2026. ABOUT THE TEAM The Social participation for Universal health Coverage: evidence-informed NetWorks Advancing