74 parallel-computing-numerical-methods Postdoctoral research jobs at University of Minnesota
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integration of analytical and computational methods. The work will be conducted in a collaborative environment, with interactions and collaborations with researchers at Brown University and Vanderbilt
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties 55%: performing high level experimental, theoretical, and numerical research and data analysis 20%: presentation
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not eligible for H-1B visa sponsorship. Duties/responsibilities: -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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and Responsibilities 75% - develop new protein engineering methods that leverage multivalency to achieve precision sensing and actuation in the design of molecular and cellular therapeutics 15
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interpretations of the data. Supervision and training - 15% • Oversee technicians or students assisting in analysis of samples • Train new lab members in molecular virology and immunological methods Presenting and
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experiments using methods created according to previously published methods or novel methods developed as needed • Analyze data collected from experiments, generate manuscript figures, write and edit
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with an expertise in dynamical systems, stochastic processes or network dynamics in the context of mathematical biology. Prior experience with mathematical/computational neuroscience and scientific
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research group focuses on mixed-methods studies on attitudes related to SOGI and bias-based bullying in schools. The position is 30% teaching (FsoS 1201: Human Development) and 70% research. The successful