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and evaluation of the developed methods using relevant imaging datasets and downstream computer vision tasks. This appointment is subject to UCL Terms and Conditions of Service for Research and
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opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en
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in magnetic resonance imaging (MRI). The post holder will investigate the underlying physical processes governing SEOP, including rubidium spin polarisation, vapour dynamics, and spin-exchange
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). · Application of ultra-high-resolution NeuroEXPLORER PET for imaging neuroinflammatory processes in the brain, with a focus on neuroinflammation in healthy ageing. · Comparison between patients with AD
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and motivated PhD student to contribute to the development of the next generation of DNA computers, capable of processing large molecular databases. The project will combine concepts from molecular
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Control Engineering and Instrumentation are growing in importance due to the need for high-quality data and information to monitor, make decisions and take correct actions in almost every process that
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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/ETRL . Information pursuant to Art. 12, 13 DSGVO on the processing of personal data at Humboldt-Universität zu Berlin within the framework of job advertisements can be found on our website: https
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organisation, while MRI metabolic imaging offers a patient-scale perspective on related metabolic and invasive phenotypes. This PhD research will be carried out at the IBGC as part of the ShadowEV-GBM