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Field
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. Support the design, integration, and testing of laboratory prototypes and hardware setups. Contribute to research proposal preparation, including literature review, technical writing, and development
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. Key Responsibilities: Responsible for development of robust and reliable manipulation algorithms for robot in complex dynamic environments. Robot platform and manipulation system hardware and software
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-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading
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environments, including file systems, shell scripting, and hardware/software monitoring. Strong mathematical background as evidenced by relevant coursework and/or work experience. Strong organizational skills
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/collaborators. Job Requirements: Ph.D. in CS/EE/Robotics/ChemE/MechE or related. Strong Python; experience with hardware and software integration (serial/TCP/IP, MQTT, API). Practical ML background, including RL
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footprint analysis) F4 Experience in hardware assembly and fabrication, with experience in PCB manufacturing/ assembly, prototyping, and willingness to acquire new skills, e.g. in additive manufacturing and
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academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
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-latency operation, and improved robustness under photon-limited conditions. Develop hardware-software co-design for intelligent sensing, including implementation and evaluation of real-time or near-sensor
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 2 hours ago
systems integration, real-time imaging technologies, and performance validation protocols. Participants will learn optical and x-ray system calibration, mixed-reality hardware integration, and evaluation