83 senior-lecturer-distributed-computing Postdoctoral positions at University of Minnesota
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Previous Job Job Title Post-Doctoral Associate - Computational Health Sciences Division Next Job Apply for Job Job ID 360487 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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a Distributed Hydrology Soil Vegetation Model (DHSVM), produce calibrated simulations, and validate the model for the MEF. The research includes: empirical investigation of high-resolution soil data
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Attend lab meetings with the entire research group and one-on-one meetings with Professor Mortazavi, as required. Attend relevant lectures and training sessions. Maintain the highest safety standards
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of the observing program; studies to model and mitigate observational systematics; and delivery of high-level products. These efforts are intended to enable robust BAO and RSD measurements from Roman GRS data and to
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of diversity in the hyper-diverse arthropod clade Coleoptera (beetles). Our research includes multidisciplinary approaches encompassing phylogenomics, morphology, ecological, and distributional data. The Insect
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Pediatric Clinical Behavioral Neuroscience- Birth to Three Program Our fellowship program aims to prepare postdoctoral
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interdisciplinary team of researchers and Ph.D students from Department of Computer Science & Engineering as well as other departments. Duties/Responsibilities: (60%) Research and development in networking, edge
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or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine
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importance are communication skills and being able to work with the senior investigators, other post-doctoral researchers, and graduate students. In addition, the postdoc will be required to: (1) attend and
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Health Policy Postdoctoral Program supports professional development of researchers as they pursue the following goals: 1. Conduct research to inform the development, implementation, and evaluation