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ROS Practical experience in hardware and simulation-based implementations Fluency in both written and spoken English Previous experience in robot learning research will be considered a strong merit
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Job Description Are you passionate about neuromorphic computing and hardware design? Do you want to contribute to the next generation of brain-inspired computing systems for healthcare applications
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, training, coaching etc.) if necessary. This is part of your personality: Background in Optics: Extensive experience with superresolution microscopy and specifically SMLM Expertise in 4Pi microscopy hardware
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drive the gradual development of these technologies toward real-world applications. This involves engineering experimental hardware for cell culturing workflows, optimizing experimental processes, and
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Expertise in 4Pi microscopy hardware and software General Expectations: Above-average MA or equivalent in a field of study relevant for the respective position. Excellent academic and study record (e.g. FÖP
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this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
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. The broader goal is to support assistive devices through real-time analysis of brain activity and physical interaction signals using energy-efficient hardware. As a PhD candidate, your primary focus will be
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identifying suitable ultrasound technologies for muscles with varying architectures, integrating recording hardware, and establishing acquisition protocols to capture both electrical and architectural
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infrastructure. For reduced (CapEx) costs, greater flexibility and faster evolution, mobile core/radio network functions today are largely realised in software over commodity computing hardware in private/public
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware