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, United States of America [map ] Subject Areas: Computer Programming Systems Modeling Biochemistry Atmospheric Science Appl Deadline: (posted 2025/02/19, listed until 2025/05/01) Position Description: Apply Position
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Nicholas School of Environment in Durham, North Carolina, is seeking a Postdoctoral Associate with experience in quantitative modeling of the atmosphere and/or climate system or in the economic valuation
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Postdoctoral Scholar. The Scholar will conduct research on Bayesian spatiotemporal modeling methodology under the direction of Professor David Dunson at Duke on developing novel models motivated by applications
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: Engineering / Biomedical Appl Deadline: none (posted 2025/04/14) Position Description: Apply Position Description Post-Doctoral Research Associate Neuron Modeling for Transcranial Electric and Magnetic
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cultured human and rodent cardiomyocytes, engineered heart tissues, and animal models of heart development and disease. Specifically, you will engage in basic science and applied research to explore
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independent research activities under the guidance of a faculty mentor in preparation for a full time academic or research career. Conduct research on computational modeling of cortical neuron activation by
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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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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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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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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