659 postdoc-in-thermal-network-of-the-physical-building Fellowship positions in United Kingdom
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hydrometeorological and climatological) hazards, involving the quantification of effects on individual assets/infrastructure components (e.g., buildings) as well as network-level and distributed-system disruptions; 2
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Professor Rory Padfield, building expertise on the role storytelling can play in sustainability transitions. You will work across Geosolutions Leeds, the Faculty of Arts, Humanities and Culture, and
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successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations
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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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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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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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University Belfast and the network of project partners. The post is fixed-term for 36 months, starting 1st September 2025 (or as soon as possible thereafter). A key component of the post is to collect and
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North Cumbria Academic Health Sciences Network. NHIP forms an organisational partnership that allows practitioners, researchers and innovators to come together to discover, develop and deliver new
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University Belfast and the network of project partners. The post is fixed-term for 36 months, starting 1st September 2025 (or as soon as possible thereafter). A key component of the post is to collect and
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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