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. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
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program connecting complex carbohydrate structural analysis with application. The successful candidate will become an integral member of the Whistler Center and the Department of Food Science, contributing
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peer-reviewed publications Preferred Qualification Familiar with various chemical analyses and characterization instruments Experience in process modeling using Aspen or other software and TEA analysis
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for an outstanding, passionate and driven postdoctoral research associate to work on an applied nuclear research project. The main focus of the position is the analysis of data collected with photon spectrometer
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, including detector operations, upgrade, software, and physics analysis. The group is deeply involved in detector upgrade projects using a center of excellence for composite manufacturing and simulation
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Job Description Apply now Req Id: 35651 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary The Center for Food Demand Analysis and Sustainability (CFDAS
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the EEG Data collection, processing, and analysis for this project. Job Responsibilities The postdoctoral scholar will be an expert in psychophysiological methods, developmental science, and/or clinical
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work
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Science, Statistics, Applied Mathematics, or a related field. • Strong background in convex analysis, statistical machine learning (reinforcement learning, LLM and generative modeling), stochastic modeling and
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energetic costs in experimentally evolved populations. The ideal candidate should have prior experience and/or a strong interest in conducting genome and transcriptome sequencing and analysis, ribosome