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] Subject Areas: Applied Mathematics, Computational Research Appl Deadline: (posted 2026/02/24 05:00 AM UnitedKingdomTime, listed until 2026/08/25 04:59 AM UnitedKingdomTime) Position Description: Apply
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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- Knowledge of mathematical probability and statistics, and optimization methods - Knowledge of machine learning, including supervised and unsupervised learning, deep learning, and model evaluation - Knowledge
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representativeness - Knowledge of software engineering for AI applications - Knowledge of mathematical probability and statistics and optimization methods - Knowledge of machine learning including
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or BSc + one year of Master Studies in mathematical engineering, mathematics, computer science, electrical engineering or similar. Solid mathematical and analytical skills, including optimization and/or
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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
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of artificial intelligence (AI)-based spectral monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we
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objectives. Make optimal use of available technology to enhance instructional methods. Supplement and alter, where appropriate, lesson plans, assignments, tests, and materials. Maintain accurate student
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Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated associate research scientist
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optimization. Together with a dedicated partner from bioinformatics you will first survey pairs of drug discovery application problems and corresponding quantum algorithms, before you focus on promising