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Engineering or equivalent. Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in top-tier machine learning or computer vision
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, 3d modeling, prototyping, and/or web and real-time media. Assists the department in facilitating the vision, mission, goals, and objectives of the department consistent with those of the College and
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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, Teflon and nylon Skilled in tight tolerance precision machining and attentive to details Proficient in the use of 3D software to design parts and program CNC lathes / mills Capable of meeting goals and
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are seeking an enthusiastic and forward-thinking Lecturer in Game Art to join our dynamic online team. You’ll play a key role in shaping our new online Game Art programme, which is one of the first fully remote
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discipline Experience or knowledge in imaging systems, computer vision, or related technical areas Strong analytical, problem-solving, and communication skills Ability to work independently as well as in a
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-supervised, weakly supervised, and data-efficient visual learning; 3D, 4D, spatial, embodied, or dynamic vision; neuromorphic computing, event cameras, spiking neural networks; robust, interpretable
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University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty
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the intake of new students when needed. Your network and team You will be mainly working with The Department of Design lecturers and professors Bachelor’s Programme in Design and Fashion students majoring in
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various projects on the computational analysis of high resolution 3D microscopy datasets. Under the supervision of the PI, the candidate will assist with data processing, analyzing the data, applying