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volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3
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and efficient data transmission, fault-tolerant communication, and navigational data integrity will also be explored. The ideal candidate has completed a PhD in mathematics, or related fields, with a
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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well as developing solution algorithms applying mathematical and computational approaches. The group has a particular focus on automated decision making in autonomous cyber-physical systems. Autonomous systems and
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conditions, and other measurement uncertainties. The successful candidates should have excellent grades, strong mathematical and simulation skills and problem-solving mind-sets. It is desirable
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mathematics, multivariable data analysis, test and validation, and instrumentation. Your Competencies The applicant should have good knowledge of chemicals such as hydrogen, carbon dioxide, methanol. Experience
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closely with other members of the AI:EcoNet Lab. Requirements: Master’s degree in computer science, data science, mathematics, statistics, physics, software or relevant fields Strong background in machine
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inaccuracy, irregular sampling grids, variations in measurement conditions, and other measurement uncertainties. The successful candidates should have excellent grades, strong mathematical and simulation
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT2 on Physics-based