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Field
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high degree of independence and technical proficiency. Methodology and innovation: Work with the PI to develop, optimize, and document novel experimental techniques and protocols to advance the lab’s
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. Implements and optimizes computing workflows using high-performance computing clusters. Prepare manuscripts, abstracts, and presentations, present findings at internal meetings and international conferences
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research analysis on geothermal well development and other advanced energy technologies that could achieve transformative gains in energy efficiency. Ability to develop optimization and life cycle models
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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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, use of microscopes, data acquisition, inverse problems in imaging, optimization methods and image estimation and in particular knowledge in methods for super resolution structured illumination
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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candidate will develop innovative methodologies for data-driven analysis and process optimization, incorporating advanced modeling techniques and real-time analytics to enhance quality control and improve
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the circuit design; Circuit design optimization; Using Cadence for circuit design and ADS for RF circuit design; Circuit implementation and characterization; Plays a key role in helping and guiding graduate
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and optimize molten salt thermophysical property measurements, develop and utilize theoretical models and frameworks to predict salt properties, molten salt thermophysical property database expansion
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activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach