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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368568 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368355 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368566 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Ensuring professional learning organizations’ needs are met in a timely and responsive manner Leading the development of coaching resources Data analysis Coding interviews and other qualitative data sources
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368575 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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on the intended and unintended effects of U.S. e-cigarette regulations. Assist in data collection, coding, organizing, management, econometric analysis and dissemination. Analyze, interpret, and document research
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and coding languages beyond R (e.g., Python) are desirable. The candidate should also have a demonstrated publication record in relevant fields and excellent communication and collaboration skills
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funded by the National Science Foundation. The position is focused on performance analysis and optimization of the MILC code and the libraries it calls such as QUDA or Grid. The successful applicant can
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and experience with diagnosing ROMS simulations and observational data, running ocean models, coding, time series analysis, and internal wave processes. The successful candidate will be required to pass
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cardiovascular treatments. In this role you will apply both machine learning predictive modelling and human genetic analyses of non-coding regulatory sequences to identify cell-specific targets for coronary artery