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date Strong technical background in modern AI/ML, including deep learning and hands-on experience with frameworks such as PyTorch or JAX Demonstrated research productivity, including publications in
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develop automated pipelines for segmenting and analysing X-ray computed tomography (XCT) images of titanium layers. This includes deep learning-based image analysis and the extraction of quantitative
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vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 hour ago
field A strong publication record in high-impact venues (NeurIPS, ICML, ICLR, AAAI, ACL, EMNLP, Nature/Science family, JAMA, Lancet Digital Health, or equivalent) Deep expertise in machine learning and/or
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III position. This position will develop and implement machine and deep learning models as part of a multidisciplinary team performing research to augment patient centered decision making in surgery
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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
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reproduction; 5. Experience in light microscopy and image analysis techniques (machine learning – FIJI, deep learning). Non-compliance with these requirements invalidates the application. Provision of false
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). Deep learning has been used to perform this mapping from UAV (Batista et al., 2025; Chudasama et al., 2024; Lambert et al., 2025) or satellite imagery (Mattéo et al., 2021), at both very high resolution
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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
advanced analytics, statistical modeling, and code development, including expertise in neural networks, deep learning, NLP, supervised and unsupervised learning, and frameworks like TensorFlow, Keras, and
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based