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Field
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Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with
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the problem of how to build hardware and/or software agents that can autonomously act on our behalf in pursuit of delegated preferences has been studied continually, albeit mostly in the context of classic AI
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 15 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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chemical reagents and modulators using custom-built flow cells. Thus, you will be involved in both traditional chemical methodology as well as hardware development and automation. The position is in close
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and English Preferred Experience / Skills: Basic skills in hardware development Programming skills Good communication skills Interpersonal/human relations skills Applicants to Provide: Statement
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, available for up to 30 months, tenable immediately, to conclude before May 31st 2028. Intelligent agents have a venerable history in AI: since the 1980s the problem of how to build hardware and/or software
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bottlenecks and optimization strategies. The digital twin will serve as a testbed for evaluating engineering trade-offs and guiding future hardware development. The appointed researcher will collaborate with
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conditions Couple the power electronics model with electrochemical battery models Support efforts towards hardware-in-the-loop (HIL) integration of the developed models Collaborate with project partners and
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crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater understanding of the polymer network morphology and how
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on investigates the materials science surrounding liquid crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater