81 parallel-computing-numerical-methods "Simons Foundation" Postdoctoral positions at University of Minnesota
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development, data management, and preparation of scientific reports (20%) Computer knowledge to enter data from experiments into existing databases; spreadsheets and web-based applications. Conduct background
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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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team of undergraduate/postgraduate researchers. Candidates should be able to multitask parallel evolution experiments with phenotypic and genomic analyses. Job Duties and Responsibilities: Typical tasks
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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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of Minnesota, working with Professor Russell Funk. This position focuses on using computational methods to understand how knowledge is produced, shared, and applied across complex systems. About the Project
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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
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-disciplinary research team, consisting of researchers in coil development, electromagnetic simulation, parallel transmit RF pulse design, pulse sequence development, advanced MR image processing, analysis and
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high-energy physics more generally. Determining which questions to study, determining which theoretical methods are appropriate for answering these questions, and inventing new methods where necessary
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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
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, protein design, engineering and purification, strain engineering and microscopy (fluorescent, TEM, SEM, AFM) and analytical methods (HPLC, GC, rheology) and/or computational analysis/modelling of biological