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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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valued, along with proficiency in advanced analytical techniques such as NMR, FTIR, GC–MS, HPLC, BET, and electron microscopy. Duties/Responsibilities 40% on lignin plasma conversion 40% on catalytic
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. Experience with gene editing and subsequent analysis. Good fine motor skills are required for ocular injections and dissection. Superior analytical, communication and management skills. Excellent communication
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and rural settings. 15% Coordinates behavioral playback data collection 20% Develops analytical pipeline to model how the space use and behavior of each species changes across the urbanization gradient
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Qualifications: - Experience with ion chromatography or other analytical techniques preferred, but not required - Experience with microbial culturing valued, but not required Pay and Benefits Pay
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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%) •Preparation of scientific reports and paper writing (25%), • Neuroimaging data analytics (25%) •Grant writing (25%) Additional Job Duties: ●Assist with neuromodulation, physiology and MRI data acquisition and
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of diverse perspectives and viewpoints—so that we all gain the background knowledge and analytical skills we need to understand and respect differences. Diversity, Equity, and Inclusion in CLA Working in CLA
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: Experience in one or more of the following: * Field research experience * Lab / analytical research experience * Statistical methods * Quantitative and programming skills
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- May 2026). The opportunity to teach a class in Summer 2026 may be available. The position may be renewed based on funding, departmental need, and job performance. At the University of Minnesota