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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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to deliver an integrated systems approach to energy geoscience that will meet Net Zero goals. Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first
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battery supply chains, to join a successful team at the University of Birmingham. In line with the principles of Net Zero Pollution, the primary aim of this role is to advance understanding of how a
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, or imaging approaches in animal models and human tissue. The successful applicant will be embedded in the larger Neuroscience community at UTSW and OBI, and will benefit from a network of collaborations with
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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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(www.c4ts.qmul.ac.uk ) provides the framework for trauma sciences research that we believe will lead to a step-change in outcomes for trauma patients. We are also a member of the International Trauma Research Network
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feedback, coaching and training to research support staff. Citizenship and Service: Begin to develop partnerships by cultivating networks; engage in internal service activities; provide support to colleagues
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research proposals; Monitor and keep up to date the latest technology and trend in related areas; Organize, and assist technical workshops, networking events and conferences (local and overseas
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Deep learning expertise with advanced architectures including transformers, convolutional neural networks, and recurrent neural networks for multimodal (biomedical) data Demonstrated experience with
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Interest We welcome applications from all disciplines aligned with one of the strategic research priorities below: Clean Technologies: Net zero innovation, sustainable energy, circular economy Life Sciences