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, and construction of optical systems in the laboratory Documentation and evaluation of experimental and simulation results Development and validation of machine learning algorithms (e.g., CNNs, deep
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Position Summary The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a Machine Learning Scientist with a focus on deep learning models
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students
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Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer
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. Full-time, fixed term position for 24 months. Building your career at the Australian Institute for Machine Learning (AIML) offers many rewards. AIML is Australia’s leading research institute in machine
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Robust machine learning using information theoretic approaches for damage detection in complex machines (C3.5-ELE-Esnaola) School of Electrical and Electronic Engineering PhD Research Project
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The role will engage in cutting-edge translational research that develops computational models for predicting outcomes in cardiac diseases. This includes a machine learning model to rule out heart
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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys) School of Mechanical, Aerospace and Civil Engineering PhD Research
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Award at the University of Sheffield. Imagine being able to check that a powerful quantum computer has performed a calculation correctly without having to repeat the computation or learn the private data