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have experience in computational neuroscience and data mining using machine learning methods. The successful candidate will lead an independent research project dedicated to identifying abnormal neuronal
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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures
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the laboratory manager and Principal Investigator. 6. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
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for a postdoctoral research position at Duke University in topic area of environmental geochemistry. The Postdoctoral Associate will lead a project on critical metals resourcing in mine wastes
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Posting Details Posting Details Logo Institution South Dakota Mines Working Title Postdoctoral Researcher Posting Number NFE02537P Department SDSMT-Nanoscience and Nanoengineering 1 Physical
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will join a multidisciplinary team to work on cutting-edge research projects to develop and apply data mining/machine learning approaches on high dimensional biological and clinical datasets. The initial
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transcriptomics) in collaboration with lab members and our collaborators. Knowledge of integrating microbiome and metabolome data is an advantage but is not required. Similarly, experience in clinical data mining
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
work, and are expected to have the skill set to analyze genetic and non-genetic data from existing studies, generate high quality manuscripts and presentations, and actively manage the manuscript
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics