83 parallel-and-distributed-computing-phd Postdoctoral positions at University of Minnesota in United States
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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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Previous Job Job Title Post-Doctoral Associate - Computation (Hanany) Next Job Apply for Job Job ID 369600 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular
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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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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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the fate and distribution of contaminants in the environment. The researcher will be directly supervised by PI Cara Santelli, who has a diverse lab that is committed to inclusivity and creating a sense of
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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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. Expected distribution of duties includes: ● Laboratory benchwork: 75% ● Data analysis, writing, and presentations: 25% Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related
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) to promote nitrogen BMPs and sound nitrogen management in crop production - Secure external funding for research and outreach as relevant Job Duties/Time Distribution: (70%) Analyze current data sets related
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mentor undergraduates, graduate students, and/or researchers in the lab. Qualifications Required Qualifications: PhD in biochemistry or a related field. At least one first author publication, including
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materials. Required Qualifications PhD or MD in neuroscience, psychology, cognitive science, or a related field. Strong experience in neuroimaging data acquisition, analysis, and interpretation. Proven