823 post-doc-image-engineering-computer-vision Fellowship research jobs in United Kingdom
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maintenance of equipment. Job Requirements A degree in Computer Science or relevant field Experience with software development life cycle For app developer role: Strong knowledge in C++ and/or Javascript for 3D
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-radiomics, neuro-oncology, dual-energy CT and imaging-guided neuromodulation. This post is particularly focused on imaging in brain cancer with funding support from the NIHR Research for Patient Benefit
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members to ensure all project deliverables are met. Undertake these responsibilities in the project: i. Conduct comprehensive literature review on NQR technology, including design approaches, scanning
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-radiomics, neuro-oncology, dual-energy CT and imaging-guided neuromodulation. This post is particularly focused on imaging in brain cancer with funding support from the NIHR Research for Patient Benefit
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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arrangements. The post The Faculty wishes to recruit a Postdoctoral Research Fellow in Data Science and Data Engineering to support the work of Professor Gemma Sharp. This is a hybrid post based on the Exeter
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(Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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(R3) Country United Kingdom Application Deadline 23 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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translation of innovative miniature, hair-thin imaging devices we have previously developed (doi.org/10.1117/1.JBO.29.2.026002 ). These devices are designed to enable early and accurate detection of cancerous