80 machine-learning-modeling-"Linnaeus-University" Postdoctoral positions at University of Minnesota
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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our ongoing research, our department members contribute to the growing understanding of how students learn; through their teaching and outreach, we model the implementation of evidence-based educational
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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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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Dr. Shen Cheng and his internal/external collaborators. The research will primarily focus on implementing and developing innovative pharmacometric modeling approaches for pharmacokinetic
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conducting clinical or preclinical proof-of-concept studies Preferred: Experience in physiological signal processing and the application of machine learning to biomedical data Background in computational
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neuroplasticity using rodent models. Concurrent research lines exploring the intersection of sex hormone signaling and respiratory neuroplasticity in aging, spinal cord injury, and stress models offer multiple
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, and publication of major results from the experiment. They will also lead the development of predictive distribution models that incorporate data from the experiment. The project is funded by the USGS C
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description: Position will require the development and application of numerical codes modeling the nonlinear