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for highly motivated candidates currently enrolled in a Master’s degree or engineering program in applied mathematics or computer science. Candidates should have a solid background in machine learning and be
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer
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Areas: computer science; applied math; artificial intelligence; machine learning; statistics; engineering Appl Deadline: 2026/02/06 11:59PM (listed until 2026/06/19) Fellowship Description: Apply
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enrolled in an official Telecom/Electrical Engineering/Computer Science/Geomatics Master program that provides subsequent access to a PhD program according to the Spanish legal regulations. The last official
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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with
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, United States of America [map ] Subject Area: Formal Methods and Machine Learning for Mathematics Appl Deadline: none (posted 2025/10/03) Position Description: Apply Position Description The Institute for Computer-Aided
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 8 days ago
: 495146 Application Instructions: Apply via Interfolio at: https://apply.interfolio.com/178333 Department: College of Engineering and Information Technology Computer Science and Electrical Engineering or
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following thematic areas: • AREA 1: Machine learning and AI-driven methods for design, simulation, and optimisation in architectural and construction engineering. • AREA 2: Robotic and additive
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- Institute for Systems and Computer Engineering, Technology and Science, a private research institution, is accepting applications to hire a doctorate researcher for an undefined term resolutive contract
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the PhD physically at Thales, working directly with planners, engineers, and data teams on real production challenges. The PhD will be hosted by the Industrial Engineering and Management Sciences (IEMS