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Field
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data Conclude the study in journal publications and patent filing Job Requirements PhD from Chemical and Biomedical Engineering, Optical Engineering, Signal Processing, Precision Instrument, Information
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learning, as well as in digital signal processing and acoustic imaging. The group includes around 20 postdoctoral researchers and PhD research fellows funded by a range of national and international agencies
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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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data Conclude the study in journal publications and patent filing Job Requirements: PhD from Chemical and Biomedical Engineering, Optical Engineering, Signal Processing, Precision Instrument, Information
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activities. You must have a PhD or equivalent in Biology, Palaeontology or another relevant subject area and proven knowledge of mammalian anatomy and evolution. Experience in working with morphological image
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into prototype systems with practical application potential. Contribute to fabrication process optimization, device prototyping, data interpretation and technical documentation for project milestones and
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
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-time research experience since their PhD completion. We are looking for candidates with a PhD and a strong background in PET imaging, particularly with demonstrated expertise in the processing and
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/Qualifications We welcome applications from researchers who: Hold a PhD in neuroscience, biomedical sciences, physics, engineering, or a related field Have experience in brain imaging (e.g functional ultrasound
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antagonists for scientific investigation of the P2Y2 R (Conroy et al., 2018 (https://doi.org/10.1021/acs.jmedchem.8b00139 ); Knight et al., 2024 (https://doi.org/10.1021/acsmedchemlett.4c00211) ). The role