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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We
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into recycle, reuse, or manual-review streams. Iterative hardware-in-the-loop trials will drive rapid prototyping of gripper architectures and autonomy frameworks, thereby establishing a scalable blueprint for
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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sensing hardware into a high-throughput sorting line is a plus. Proficient in developing, training, and deploying AI-driven sensor-fusion pipelines, including preprocessing, deep-learning model
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-house. For this, knowledge of swarm robotics hardware and software is required. You will also work closely together with our VR lab to ensure the creation of comparable virtual worlds in which robots and
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and hardware. Expect a dynamic, cross-border innovation ecosystem where your contributions directly influence the future of sustainable transport. Information and application Are you interested in