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with hardware acceleration techniques Familiarity with computational neuroscience tools and libraries Experience with large-scale clinical, omics, or imaging datasets. Interdisciplinary Collaboration
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will be validated through scaled hardware‑in‑the‑loop (HIL) laboratory experiments. Collaboration within the FME SOLAR consortium is an integral part of the position. Required qualifications Master’s
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further, please contact us via email at [email protected] . Important Information and Disclaimer Applicants must be eligible to access information, technology, and hardware which is subject to
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control protocols for intrinsically protected quantum hardware. About you Applicants should have a PhD in theoretical physics, quantum physics, or a closely related discipline, together with expertise in
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | about 1 month ago
neurobiology. Relevant experience includes: Pumping mechanisms, valves, fluid handling, and perfusion systems Programmable controllers, sensors, actuators, or microcontrollers Hardware–software integration and
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to validate system performance under operating conditions. The role includes the development and optimisation of power electronic components and hardware prototypes. The Fellow will work closely with mechanical
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material science, digital fabrication, hardware systems, artificial intelligence, and computational design to advance smart textiles and wearable systems for various applications, including health and well
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++, Python. Experience with Machine learning technologies (e.g., LLM, and Machine Learning) is an advantage Experience with Hardware, e.g., FPGA acceleration, is an advantage. Excellent communication skills
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. • Collaborate extensively with industrial partners to integrate customized end-effectors and existing mobile bases into a unified ROS/ROS2 ecosystem. • Lead hardware-in-the-loop testing, prototyping
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algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication