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multimodal data (video, self-report, physiological sensors, automatic facial recognition software) that examines CER in multiple contrasting contexts. And (3) Advance educational theory and practice by
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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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reconstruction algorithms that incorporate multiply-beam coherent scattering imaging in a grazing incidence geometry to improve the spatial resolution to ultimately demonstrate the utility of the novel coherent
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degrees of knee flexion and retreat to neutral position of the ankle. The system must be lightweight, affordable, and adaptive. Furthermore, the system will be equipped with force sensors embedded in
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two marine research cruises in March-April 2026 and 2027. These future cruises will deploy moored sensors (e.g. acoustic Doppler current profilers - ADCPs) in a series of submarine canyons in the Gulf
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multiscale simulation methods for quantum mechanical properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms
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Pharmaceutical health outcomes, (Pharmaco)epidemiology, Biostatistics, or a related field. · Expertise in or a strong interest in machine learning and deep learning algorithms. · Excellent communication skills
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synergy with another postdoc working on the same project, whose focus is on the development, demonstration and application of the functionalized quartz resonators integrated into a sensor prototype. If
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6. Desirable criteria Evidence of active collaboration with dry lab and co-development of algorithm for the prediction of epitopes. Downloading a copy of our Job Description Full details of the role
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and implement power grid planning/operations algorithms and tools and conducts data analysis related to energy and power systems, with emphasis on the following areas: Variable energy resource