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radiological data, such as MR, CT and pathological images. Required Qualifications* The ideal candidate will have: A PhD degree in computer science, electrical or biomedical engineering, or medical physics
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knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and
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7 Apr 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets
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Brain Cancer initiative, a cross-institutional program dedicated to translating technological breakthroughs into real impacts for brain cancer patients. Job Summary Brain cancers are one of our greatest
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plasticity. We study questions at a variety of levels, Ranging from synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake
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. Experience working with medical images. Very good computer programming skills and physics background is essential. Desired Qualifications* Nuclear medicine imaging/dosimetry experience. Experience in image
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alongside residents and faculty Support for conference travel to present research Preferred—but not required—experience includes backgrounds in: 3D Printing Engineering Computer Aided Design Medical
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have the chance to perform experiments while supervising or collaborating with students. Who We Are Michigan Engineering provides scientific and technological leadership to the people of the world. We
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photoelectrochemical ammonia synthesis funded by the Australian Research Council The successful candidate should have research experience in electrochemical technology and prototype design. They will have excellent oral