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being a doctoral student at LTH on lth.se Subject and project description The research area is Risk and Safety of heterogeneous swarm systems. The multi-disciplinary center for heterogeneous adaptive
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Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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. Publish research results in leading journals and conferences in machine learning, computer vision, and computational imaging. Contribute to research-based teaching and supervision of MSc and BSc student
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intersection of artificial intelligence, computational biology, and computer vision. It is designed for candidates excited about applying advanced AI methods to frontier problems in biology. We are seeking
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materials, actuated by muscle and powered by chemical energy. Perception and Computer Vision: 3D reconstruction, object recognition, and scene understanding that give robots reliable perception of
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of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train
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Intelligence (AI) such as computer vision, navigation and planning. Some of your key responsibilities include: Developing software that can be deployed to UAVs. Carrying out research relevant to the above, in
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University of New Mexico’s Center for Advanced Research Computing (CARC), within the Department of Computer Science, seeks a full-time Postdoctoral Researcher to lead development of an open-source
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. Candidates whose work sits at the intersection of CSD and engineering, robotics, industrial design, or computer science are strongly encouraged to apply regardless of their disciplinary training. Our
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doing basic research in areas such as: AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep