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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
ensure local relevance. Required knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science
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subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 2 months ago
the SLAC mission and values ( https://careers.slac.stanford.edu/working-slac/mission-vision-values ). Qualifications: These are highly competitive positions as part of the general research associate
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Alpes and the University of Savoie Mont-Blanc. https://lpnc.univ-grenoble-alpes.fr/ Team Description: You will be part of the LPNC's "Vision and Emotion" team (UMR 5105; leaders: David Alleysson, CNRS
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PhD in Physics or an adjacent field, such as Mathematics, completed by the start of the appointment Knowledge of High Energy Theory and Machine Learning, as usually acquired through a PhD in Physics or
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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Level PhD or equivalent Research Field Mathematics Education Level PhD or equivalent Research Field Other Education Level PhD or equivalent Skills/Qualifications Machine learning and deep learning
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Faculty Opportunity in Cancer Research – Machine Learning
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proven record in robotics, machine learning/deep-learning, and computer vision Strong publication record in relevant areas, e.g., published works at ICRA, IROS, NeurIPS, CVPR, ICCV, ECCV, ICML, ICLR
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Technology (MIT), and Tufts. Minimum Qualifications Required PhD in Physics or an adjacent field, such as Mathematics, completed by the start of the appointment Knowledge of High Energy Theory and Machine