33 computer-programmer-"https:"-"FEMTO-ST"-"U" "https:" "https:" "https:" Postdoctoral positions at Cornell University in United States
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implement active learning techniques in larger courses (no more than two per semester), participate in the college-wide ALI program, including attending weekly ALI fellows’ meetings and facilitating ALI
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developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy
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Tuition Assistance Program. All applications should be submitted via Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/31530 . A complete application will include the following material
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Bucks New York (DUFBNY): In partnership with the Field and Fork Network, we evaluate the implementation of DUFBNY where households with Supplemental Nutrition Assistance Program (SNAP) benefits receive
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open data and computational resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects
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principles. A core part of the NTO’s mission is to develop open data and computational resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross
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include tuition-free Part-Time Study and Employee Degree Program, heavily discounted eCornell courses and certificate programs, tuition aid for external education, and Cornell Children's Tuition Assistance
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systems-thinking competencies; design formative and summative assessments of systems-thinking skills at the course and program levels; support scaffolding systems-thinking pedagogy across the E&S curriculum
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formative and summative assessments of systems-thinking skills at the course and program levels; support scaffolding systems-thinking pedagogy across the E&S curriculum. The position is supported by Cornell’s
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. The Postdoctoral Associate plays a central role in establishing a research program linking field-based disease biology with genomic pathogen surveillance and pangenome scale analysis of fungal pathogens