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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
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Research Assistant 2 position is based in Prof. Aditya Mahajan's research lab in the department of Electrical and Computer Engineering. Project overview: We invite applications for a researcher to work on a
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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work independently on complex projects. Experience and Education Master’s degree in Software and Computer Engineering (French engineering schools are preferred). Experience in optimizing ML algorithms
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Computer Science or related field (recommended). Any educational training in Biology/Ecology would be considered an asset. Experience: Experience in python and web programming, image analysis algorithms, developing
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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, Quebec J1K 2R1, Canada [map ] Subject Areas: Theoretical Physics / Quantum Optics Quantum Information Science Appl Deadline: 2025/09/01 11:59PM (posted 2024/08/29, listed until 2025/09/01) Position
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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a training dataset for developing machine learning algorithms for increasing the consistency of quality control in two cohort studies: healthy controls and epilepsy patients. Key Responsibilities
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and synthesize relevant literature in machine learning, representation learning, and manifold learning. Propose and implement extensions to existing dimension reduction algorithms using contrastive