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statistics, microbiology or a related field; a strong interest in plant-microbe interactions and data mining including very good data analyses skills and knowledge on application of statistical tools teamwork
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for a highly motivated candidate with: a MSc degree in plant biology, bioinformatics and statistics, microbiology or a related field; a strong interest in plant-microbe interactions and data mining
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measure their properties? This project will focus on that key question, with students learning how to mine the vast new data resource that is the LSST. For more information on this project please contact
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analysis, interactive data visualization, programming or similar software applications. Knowledge of use of data mining. Ability to research and develop statistical learning models for data analysis. Ability
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, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years’ experience preferred. • Experience with machine learning, data mining, and analytic techniques
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University of Nevada, Las Vegas (UNLV) invites applications for a non-tenure track teaching-focused Research Scientist in Mineral Resource Management. This 9-month position is supported by Nevada Gold Mines
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methods, operations management, supply chain management,information technology, data mining, and cognitive analytics. The positions may require on-site face-to-face availability for course instruction
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Graduate student or PhD student as a GTA to work with one of our tenured faculty to support their research and teaching for the Fall 2025 and Spring 2026 semesters. Required Qualifications Candidate must be
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an anticipated start date of July 1, 2026. Candidates must have earned a PhD degree in Pharmacology or a related discipline with a demonstrated record of excellence in research and teaching. The successful
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into protein databases (FASTA) to be used in mining raw Mass Spectrometry Proteomics data. The aim is to generate novel knowledge about the tumor biology, discover tumor antigens, and associate the findings with