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Field
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candidate rare-earth systems, unravel their decoherence processes, and propose methods to control these states efficiently. The candidate will conduct the research under the supervision of Naoya Iwahara
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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administration skills Knowledge of research methods Preferred Qualifications: Familiarity with University of Minnesota (culture, policies, financial, etc.) Experience with academic research, especially in either
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programming ability in R or equivalent analytical software and be able to apply statistical methods to large datasets with accuracy and initiative. You will demonstrate enthusiasm for research, excellent
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Method Hourly Pay Period 16th - 15th of the following month Pay Date Last working day of the month Remote or Hybrid option? Min Hourly Rate $15.05 (Standard); $14.05 (Non-Urban); $16.30 (Portland Metro
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at study sites and undertake quality control responsibilities related to studies, including site monitoring. Experience of using a range of research methods is desirable. A postgraduate qualification (or
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Position Details Position Information Job Title MES Student Research Assistant Appointment Type Student Employee Job Location Ontario Position Appointment Percent 100 Appointment Basis 12 Pay Method
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Basis 12 Pay Method Hourly Pay Period 16th - 15th of the following month Pay Date Last working day of the month Remote or Hybrid option? Min Hourly Rate $15.05 (Standard); $14.05 (Non-Urban); $16.30
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located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one
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-methods methodologies and common software (Nvivo, STATA/SPSS, Covidence). Due to the sensitive nature of the research, the successful candidate will be subject to a Disclosure and Barring Service (DBS