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. Occupational Summary Perform a variety of complex and independent activities involved in planning, organizing and conducting research studies within the overall scope of a research project at Duke University
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) for the California Animal Health and Food Safety (CAHFS) lab at UC Davis, including its financial system components. This role applies technical expertise and business analysis concepts to evaluate, develop, and
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particular, we aim to develop a neural network architecture that will allow us to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design
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) diabetes and obesity. The field of research this position is engaged in is Biostatistics and data analysis. This research applies translational data science to bridge complex biostatistics and bioinformatics
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/Qualifications 1.Degree (to be obtained durimg 2026) in Economics. Specific Requirements 1. Strong organizational and multitasking skills, with the ability to manage complex workflows and deadlines. 2.Excellent
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financial goals through enrollment data analysis, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable
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Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic theory and econometric analysis. We are particularly interested in
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throughput datasets by designing and writing custom data analysis pipelines (in Python and/or R) Assist in the writing and publication of experimental results Train and mentor junior scientists in the lab
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performing remote and in-person site visits. They will also assist with grant and manuscript writing, and data management/analysis such as designing data collection forms, data cleaning, and participating in
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, simulation modelling, and data analysis, ideally with experience in agricultural systems or complex biological/ecological modelling. The candidate will work closely with a multidisciplinary team of academics