96 postdoc-distributed-algorithms uni jobs at University of Minnesota in United States
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provides hands-on experience in algorithm design, computational testing, hardware demonstrations, and close collaboration with graduate students and faculty mentors. Key Responsibilities: Design and
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the distribution of responsibilities among project contributors by identifying task needs and aligning them with project goals and timelines, team expertise, and capacity 30% Communication and Coordination ● Serve
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postdocs Essential Functions: 10% Growing cells; 20% Making buffers and reagents; 40% Running chromatography columns; 20% Analyzing protein batches; 10% Running assays. Qualifications Required - HS diploma
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, to evaluate the potential population count and distribution of beavers. - Use/develop appropriate computer modeling and remote sensing techniques to estimate vegetation greenness, burn severity, and total water
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compensation report distribution and mechanisms to support transparency. Continually improves the Solution design to enhance the user experience and number of useful applications (year-end communications, real
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tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
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, registration (in coordination with the Extension Learning Technology team, as appropriate), invoicing and paying of invoices, preparing and distributing clinic and program materials, etc. Serve as primary
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, webinars, and community conferences to address dementia, brain health, health aging, and health equity •Assist with creating, communicating and distributing resources to community partners •Prepare and
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materials. 45% Distribute Minitex library materials to proper locations in the delivery area. Package and label library materials so that they can arrive at their correct destinations in good condition
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responsible for maintaining ecological momentary assessment (EMA) research study databases and text message-based survey distribution. The back end of the portal is a MySQL database and the surveys