2,309 experience-design-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions
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qualitative and quantitative research methodologies Experience conducting co-design and consumer-engaged research. Proven ability to manage research projects and work independently while contributing
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of bone formation and resorption; design and perform preclinical experiments with a pharmaceutical compound provided by our industrial partner, Azafaros, including dose-finding, longitudinal read-outs and
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support the neutronics and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 13 hours ago
to prosperity. Designated an Innovation and Economic Prosperity University by the Association of Public and Land-grant Universities, UNCG is a community-engaged research institution with a portfolio of more
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own computing infrastructure; and, working with subject specialists and curators, designing and validating the first dedicated benchmark suite for evaluating language models on humanities research tasks
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Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering - Prof. Rohit Karnik and Prof. Zachary Smith, to work on experimental measurements, process design, and techno-economic analysis
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/Responsibilities: Design, assemble, align, and characterize optical instrumentation for squeezed-light sensing and microscopy. Benchmark quantum-enhanced measurements against coherent-light measurements
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detailing your expertise and motivation for applying Department Summary The Knight Campus for Accelerating Scientific Impact is an ambitious initiative designed to fast-track scientific discoveries
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focuses on developing virus-mediated delivery systems, with the goal of achieving tissue-culture-free, transgene-free, heritable edits in planta. The successful candidate will design and execute experiments
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Demonstrated experience in control theory and control system design (e.g., model predictive control, feedback control, adaptive control) Experience applying machine learning/AI to engineering systems Proficiency