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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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develop machine learning approaches (deep learning) to understand the eco-evolutionary mechanisms underlying biological diversity from environmental (phylo)genomic data. - Methodological developments in
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. Washington Monthly Magazine ranks FIU among the top 20 public universities contributing to the public good. The Knight Foundation School of Computer Information Science at Florida International University is
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 12 hours ago
such as electrical power. Recent advances in machine learning present new opportunities to enhance the level of fault management and control in NASA's future power system applications. This work aims to
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research team led by Assistant Professor Nianqiao (Phyllis) Ju. Dr. Ju’s lab focuses on research in statistical data privacy, computational statistics, and statistical machine learning. A main goal of this
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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. Washington Monthly Magazine ranks FIU among the top 20 public universities contributing to the public good. The Department of Electrical and Computer Engineering at Florida International University is seeking
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. Essential qualifications: PhD in Computer Science, Robotics, Machine Learning, or related fields. Programming skills in Python/C++ and experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX). Strong
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to adel.bibi@eng.ox.ac.uk For more information about working at