44 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at University of Minnesota
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. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals should be open to
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Yang research lab at the University of Minnesota is looking for a postdoc with microfluidic expertise
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software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts. Starting Date
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/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The PostDoc position will have the opportunity to work in a consortium of labs/PIs
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The CNS Lab at the Masonic Institute for the Developing Brain will be hiring a postdoc to contribute to a new study of 200
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential
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modeling, physiological signal analysis, and innovative neuromodulation strategies for neurological disorders such as epilepsy, chronic pain, and autonomic dysfunctions. Primary Responsibilities 35
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, Molecular Biology, or a closely related biomedical field • Experience with retinal immunopathology, photoreceptor biology, or RPE-related degenerative disease models • Demonstrated expertise in retinal
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modeling. 80% research - The project focuses on developing theoretical models using optimization and information theory to improve understanding of plant hydraulic regulation at the leaf, plant, and