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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 5 hours ago
neutrinos and other BSM physics via precision measurements of radioactive decay. The successful candidate will play a leading role in one or more of the following activities: Hardware development and data
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. The innovation of power devices is one of the driving forces behind the advancement of power electronics systems. As typical wide-bandgap power devices, SiC MOSFETs are gaining popularity in various applications
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for hypersonic wind tunnels, under the direction of Dr. Samuel Grauer. Job Duties: Include refinement of the neural-implicit LAT (NILAT) algorithm. Hardware design. Deployment at NASA facilities. The role combines
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. This position supports ongoing research efforts in advanced feedback control design and implementation, with particular emphasis on thermo-mechanical systems. The successful candidate will also assist in
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commercial solutions for preclinical irradiation research. Together, we form an ecosystem where academic innovation and practical application go hand in hand. About the project Maastricht University is
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where academic innovation and practical application go hand in hand. About the project Maastricht University is currently expanding its preclinical research facilities with state-of-the-art technologies
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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Location: Ben Guerir Position Type: Postdoctoral Research Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world
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platforms for advanced automation and control. You will be mainly in charge of: Designing and deploying edge-to-cloud automation solutions for real-time operation of active distribution grids Implementing
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. Design and implement control policies for robotic arms and mobile platforms using reinforcement learning, classical control, and hybrid approaches with sim-to-real transfer in mind. Lead activities such as