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, this role maintains, troubleshoots, and optimizes key applications including Workday, Pyxis, SpaceTrax, GHX, Data Connect, and Epic—systems essential to purchasing, inventory management, patient charging, and
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of artificial intelligence (AI)-based spectral monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we
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CHP units, the wider energy system risks losing a crucial flexibility resource. Through strategic integration hybrid energy storage systems with greenhouse operations via optimization methods, control
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 6 hours ago
to provide optimal multidisciplinary care to patients. Candidates must possess state licensure as Nurse Practitioner or Physician Assistant. Compensation package will be commensurate with experience
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You
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optimize MRI hardware tailored for compact magnets with highly nonuniform magnetic fields • Using computer simulation, adapt MRI pulse sequences to address field inhomogeneity • Perform experimental
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Services, Operations, and the Campus Dean’s Office to optimize digital recruitment strategies and track performance metrics. Delivers admissions presentations, including application tips and campus
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the gap between academic innovation and "real-world" therapeutic development. The successful candidate will be responsible for lead optimization of novel protein aggregate degraders, utilizing both
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using an ethical framework that is nonjudgmental and nondiscriminatory. Acts as a liaison between the patients, families, and caregivers and the providers to optimize outcomes. Advocates for patients
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these bodies. A robust understanding of how icy materials behave under planetary conditions is essential for informing models and planning observations to optimize the science return of missions. The focus