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research studies focused on the central mechanisms of chronic pain. Design, analyze, and publish research using multimodal imaging (PET, MRI, fNIRS, EEG) and GenAI/based analytics. Implement and refine novel
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24th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in information technology - AI for medical image analysis Apply for this job See advertisement Job description The
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
and imaging butterfly courtship interactions within experimental enclosures with the ultimate aim of reconstructing the visual circumstances leading up to mate detection. The successful candidate will
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to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50 of the monthly maintenance stipend. INESC TEC supports
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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: “Chaos and Coarse-Graining in Holography: Towards a New Paradigm for Quantum Gravity”, which is funded by a UKRI Frontier Research Grant (ERC Starting Grant) and led by Principal Investigator Dr Felix
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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the performance of free electron-driven EUV emission for imaging, lithography and other applications. Key Responsibilities: Perform simulations in nanophotonics, free electron-driven EUV emission and EUV
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
quality research outcomes in the area of animal behaviour. This project involves establishing and imaging butterfly courtship interactions within experimental enclosures with the ultimate aim
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technologies that is rapidly changing society. Despite these advances, the potential for deep learning and machine learning solutions for image processing is vast, especially for domains relying on more complex