87 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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, 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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development, and disseminate results at conferences. This position will work Monday-Friday with weekends as needed. Expected distribution of duties includes: ● 75%: Laboratory benchwork ● 25%: Data analysis
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Hulleman Laboratory is looking for a motivated and talented postdoc for a two-year program to focus on an exciting
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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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-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a