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publications. WORK PERFORMED: Works in co-operation with members of the research team and following research ethical protocol in: Develops and writes novel protocols and safety procedures. Troubleshoots complex
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coordination failures in firms' investment decisions, urban congestion, and environmental externalities. The research combines multiple data sources--census and survey data, infrastructure and land-lease records
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of data, assists in preparation of grants, ethics application, summary reports and publications. WORK PERFORMED: Works in co-operation with members of the research team and following research ethical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
design and construction of elements of the LEGEND-1000 experiment. Plan, schedule, procure, and coordinate multiple experimental and analysis projects. Contribute to analysis sub-group efforts for LEGEND
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proficiency and ability to navigate multiple software applications Detail-oriented with exceptional organizational, planning and problem-solving skills Ability to work independently, as a part of a team and
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institute where multiple disciplines of behavioural science are studied under one roof, we invite you to apply for our 2026 PhD positions. The BSI’s overall aim is to strengthen people by means of high
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Computer Engineering Division Provost - Academic Affairs FTE .5 Scope of Job Maximum appointment is limited to twenty (20) hours per week (50% FTE) during the Fall and Spring semesters. Maximum appointment
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after the CSP. * Note: This CSP offset amount may be reviewed annually in line with changes in CSP Student contributions Up to $160,000 is available to fund this program across multiple years. Amount: Up
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bioengineering; and involves multiple collaborations. The role will involve microfabrication, device assembly, in vitro prototyping, and preclinical evaluation in rodent and swine models. In addition, the person
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both