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developing and applying advanced statistical models, machine learning, and deep learning approaches. As such, we seek applicants with strong quantitative backgrounds in remote sensing and time series analysis
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members support in data collection, image processing, map improvement, structure analysis, model building, and validation. Specific areas of research are investigation of multiprotein-nucleic acid complexes
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Description Post-Doctoral Research Associate in modeling materials effect in Urban Heat Island Job Description: A post-doctoral research position is available at Duke University for a candidate with expertise
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experience with cellular, molecular, and/or systems-level neuroscience, ideally using rodent models. Candidates with immunology backgrounds are also encouraged. Broadly, our lab is interested in glial cell
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keratinocyte differentiation and cancer biology utilizing cultured cells and animal models of skin diseases. Responsibilities include: Development of new and implementation and modification of existing
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zebrafish embryos as a model system. We employ a multidisciplinary approach combining high-resolution microscopy, advanced image analysis, genetics and transcriptomics. Current projects include investigating
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computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
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pathways and mechanisms underlying autoimmunity from a lncRNA and epigenetic gene regulation perspective. We utilize biochemical assays, tissue culture, mouse transplantation & disease modeling experiments
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system. For the meta-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine
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-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired