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. Strong mathematical or statistical skills. Ability to work as part of a multi-disciplinary team. Physical Requirements & Working Conditions None Degree Requirement Listed degree qualification is required
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deployment experience High-performance computing and large-scale data analysis Background in neural density estimation and advanced ML techniques Position Details Duration: 3 years (renewable annual
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» Informatics Computer science » Modelling tools Mathematics » Applied mathematics Mathematics » Algorithms Mathematics » Computational mathematics Mathematics » Statistics Physics » Statistical physics Physics
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responsible for qualitative coding of observations and interviews. 70% Research Qualitative coding and analysis of teacher instruction of mathematical expressions in biology and chemistry and student
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the performance of the current and future correlation choppers. This work will include performing experiments at CORELLI, the diffuse scattering instrument at SNS, and analysis of inelastic components arising from
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presentations. Functional Area 3: Teaching Percent Effort: 5% Teach courses in Department of Mathematics and Statistics Perform other duties as assigned QUALIFICATIONS Ph.D. in Data Science, Statistics
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involving signaling between nociceptors and non-neuronal cells in models of bladder dysfunction, as well as work closely with mechanical, electrical, and biological engineers to develop tools to study and
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highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex
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photon science. Proficiency in scientific programming for experimental control or data analysis. Ability to work independently in a laboratory setting and collaborate effectively in a team environment
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resource efficient printed electronics on flexible substrates and their innovative use in applications such as robotics, and wearable and interactive systems. Qualifications: The successful candidate having