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autonomous sensing systems. The project requires experience with setting up sensing hardware, software defined radio systems and other lab equipment for data collection in addition to experience of programming
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are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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electron microscopy (4D-STEM) techniques. The Research Associate will design and execute in-situ experiments under liquid nitrogen and liquid helium conditions, including developing the hardware and
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, performing data collection and processing of cryo-EM data. Setup of future hardware and software as the research technology is upgraded. Providing lab members support in data collection, image processing, map
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work together with the PhD candidate. Applicants are encouraged to familiarize themselves with our existing publications . In this work, there is also an expectation to be innovation-oriented, to help us
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findings at meetings and/ or conferences. Lead the definition and documentation of requirements, architecture and design of secure, scalable, asynchronous, agentic systems, based on knowledge of principles
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hardware and geometric features. Force protection, physical security, and threat mitigation strategies. Motorsports safety. Product development and innovation. Rail crashworthiness and safety. Run-off-road
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diverse patient population. Einstein is home to many Centers of Excellence, including 7 NIH-designated research centers and has annual NIH grant funding of $192M (FY2024). Review of applications will start