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The Biomedical and Astronomical Signal Processing (BASP ) laboratory at Heriot-Watt University Edinburgh (HWU ), headed by Professor Yves Wiaux, is recruiting a postdoctoral researcher in computational imaging
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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Are you ready to discover how Artificial Intelligence is transforming tongue cancer surgery? Join our innovative PhD program at the Netherlands Cancer Institute and make real impact by helping
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@ifj.edu.pl The application must include: -CV, -cover letter, - a copy of PhD degree or a document confirming awarding PhD degree, - GPDR consent "I consent to the processing of my personal data by IFJ PAN
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. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
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FieldPhysics » AcousticsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD thesis in acoustics, mechanics - Skills in structural acoustics, signal processing, antenna processing
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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access to state-of-art Siemens, GE scanners, as well as a United Imaging PET/MRI system located nearby—providing an ideal setup for multi-vendor studies. The prospective postdocs will collaborate with a
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA