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Technology POSITION DESCRIPTION: LeTourneau University invites applications for adjunct faculty members qualified to teach manual machining and/or CNC machining during the academic year. Classes are located
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interview. Required Qualifications Ability to learn the materials, methods and practices used in custodial work. Ability to learn the operation and care of vacuum cleaners, scrubbing machines, polishing
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to the position. Current American Heart Association CPR Certification. Demonstrated computer familiarity, keyboard skills, computer literate in programs such as Microsoft Word and Excel. Willingness to learn new
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science, AI and machine learning, robotics, engineering, computer vision, and signal processing. Details of this year’s workshop are at https://sites.google.com/view/telluride-2026/home IMPORTANT DATES
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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a two-year research project in collaboration with international academic partners. The main objective of the project is to study the interaction between machine learning and wireless communication
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been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning or planning. Experience with ROS2
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programming task within the thematic context of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bi-molecular-machine-learning/ Employment conditions This is a
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electives within their areas of expertise. We are particularly interested in individuals with an interest in teaching electives in all areas of Artificial Intelligence and Machine Learning, including but not
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Triple Negative Breast Cancer Using Machine Learning”. We seek to appoint a creative and motivated individual to use machine learning (ML) to identify why some patients with triple negative breast cancer