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-UAS technologies o Multi-agent systems and swarm robotics o Autonomous navigation and guidance o Computer vision and perception o Machine learning
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assigned. Knowledge, Skills, & Abilities Good computer skills and detail oriented. Excellent teamwork skills and strong customer service orientation. High School Diploma required. Some college preferred
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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pressing challenges in food and water security, environmental change, and socio-ecological resilience. Its research combines geospatial computer vision, digital twins and photogrammetry, and sensor fusion
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the School of Computer Science at the University of Sheffield, you will lead the machine learning research on acoustic foundation models for respiratory health. You will work with large-scale real-world
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, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision
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) infrastructure supporting cutting-edge AI, computer vision, and multimodal learning research. The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large
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. Applicants must have the right to work in the UK. We are unable to offer visa sponsorship for this role. Candidate requirements Candidates must have expertise in developing computer vision and machine learning
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& Programming Instructor will create a hands-on learning environment that supports adult learners in developing practical machining, CNC operation, setup, programming, and troubleshooting skills aligned with
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Job Title: Adjunct Faculty - Computer Information Technology Location: Indianapolis Job Type: Part-time Classification: Adjunct faculty Salary Range: $48.67 Per Contact Hour Reports To: Department