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and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences Physics and AI: Physics-Informed Machine Learning (PIML): Physics-informed neural networks
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blind and low-vision individuals in navigating both outdoor and indoor urban spaces. The project's initial phase will employ machine learning models, computer vision algorithms, and real-time sensory
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appreciated. The selected candidate will work on cutting-edge technologies in an excellent research environment, with a potential to work with a Quantum Computer through our collaboration partners, as
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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
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concisely and clearly. They should be keen about publishing their work and findings and strive to meet deadlines. A bachelor’s degree in Computer Science or Computer Engineering is required. The candidate
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backgrounds in computer networks, web, internet measurements, satellite, AI and machine learning, or related fields are encouraged to apply. A successful applicant would be working on various projects related
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surface features designed to enhance the performance of microfiltration (MF), ultrafiltration (UF), membrane distillation (MD), and nanofiltration (NF) processes. The role involves advanced membrane
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scientist to work on the development of membrane desalination to treat water from the Arabian Gulf feed sources and on the design and scale-up of low energy membranes for water purification, under
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of 3 references for recommendation letters to be solicited at a later stage of the search process. Do not include the letters in your uploaded documents. We will begin reviewing applications immediately
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search process. Do not include the letters in the uploaded documents. We will begin reviewing applications immediately and will continue until the position is filled. Shortlisted candidates are expected