246 parallel-computing-numerical-methods-"Simons-Foundation" positions at Harvard University in United States
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oceanography of the Southwest Greenland shelf as part of the Overturning in the Subpolar North Atlantic Program (OSNAP, www.o-snap.org ). The postdoc is expected to work with a variety of data (moored, vessel
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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, video conference technologies, and related computer systems and programs. May be asked to work evening hours/or weekends, or holidays as needed Mailroom backup when needed. This position involves
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opportunity to shape the future of medicine. About the Department of MEDscience: HMS MEDscience’s mission is to inspire and empower a rising generation of STEM leaders. Our program immerses students in
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with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn these methods. The appointment is for one year with possibility of renewal based
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
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to full execution (15%) Outreach for Other SDP Programs and Initiatives • Develop outreach materials, and strategies in coordination with communications team for non-fellowship education program
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for Science Information Analysis (CSIA) Public Relations Publications Social Media Programs Programs Support for Research Initiatives Grants-in-Aid for Scientific Research Topic-Setting Program to Advance
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physics, biology, economics, computer science, AI, statistics, and other disciplines Appl Deadline: 2025/11/15 11:59PM (posted 2025/08/03, listed until 2025/11/15) Application Description: Apply
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Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Contact Information