923 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Texas at Austin
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---- Job Details: General Notes As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global leader in technology
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mass spectrometry in the Biological Mass Spectrometry Facility. They will develop methods, train users, mange lab computers, engage in outreach activities and administrative and safety tasks. UT Austin
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403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference
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. What starts here really does change the world. To learn more about the McCombs School of Business, please visit https://www.mccombs.utexas.edu/ Purpose The Senior Program Coordinator’s goal is to create
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; access to employee professional development and wellness services ; the opportunity to qualify for the Public Service Loan Forgiveness (PSLF) federal program; flexible work arrangements and more
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to scientific reporting, including methods, results, annual reports, and usage data for grants and publications. Stay informed about emerging technologies. Identify opportunities and contribute to proposals
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department provides excellent research support through its strong PhD program, other graduate and undergraduate assistants, and extensive research funding. The department is home to five thriving centers and
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, duplicate assignment reports, and hours worked reports. Rectify compliance warnings in line with university policies and departmental guidelines. Utilize numerous technology platforms such as Workday systems
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of Texas at Austin. LAITS provides the university with expert-level computer support, classroom support, technology integration, facility management, project management, software development, server
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of therapeutic neuroengineering methods (both implanted and non-invasive), grounded on electroceuticals, that (i) decode pathophysiological states of neural networks via brain-computer interfaces, and (ii) deliver