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-scale modelling, spectroscopic analysis, and more. The group has extensive research experience in theoretical calculations, energy science, and machine learning. The research emphasizes the integration
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project has a strong focus on developing and applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include
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standards and data protection regulations. This includes managing sensitive data correctly and guaranteeing that machine learning applications are developed with ethical considerations in mind. Participate in
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Grant/funding reference: PID2023-149956OB-I00 Job title: Safe and efficient ports: comprehensive operational risk management through monitoring, advanced techniques and machine learning. PORT-AHEAD+AI
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benefits Your tasks: Development of finite element models of plasma-based figuring of optical components Development of machine learning models for predicting the spatial and temporal evolution of surface
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related field At least 1 year of relevant experience in signal processing and machine learning. Good written and oral communication skills Proficiency in ANSYS, and lab test skill Ability to work
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individuals with research interests in optimization, evolutionary computation, and machine learning. Initial appointments are for one year. Required Department Minimum Qualifications: Ph.D. or terminal degree
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: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Computer Science / Augmented Reality , Programming Languages Electrical and Computer Engineering / Machine Learning Appl
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of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global
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if the candidate can self-learn the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree