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, tellurium and germanium. There is a necessity to bring transparent and reliable data and methods to address the actual sustainability (here considering its environmental dimension) of such large-scale changes
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mechanisms and microbiology to the overall structure, function and behaviour of animals and how these are affected by breeding, physical activity, care, production, stress, environmental factors and disease
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Location Lexington, KY Grade Level 14 Salary Range $93,527-156,062/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https
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: • screen novel dyes through initial dyeing experiments on different natural and manufactured fabrics • evaluate promising structures providing permanent colouration • analyse colour fastness and colour
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-based experimental work in a structured research environment. They are detail-oriented, reliable, and capable of executing established protocols while identifying and resolving routine technical issues
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
. Proficient in working with executives, senior clinicians, and others to facilitate/lead deep opportunity analysis, recommend innovative solutions, structure reliable implementation plans, develop related
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, as reliable decisions must often be produced from partially observed data. Event-based sensing and neuromorphic computing offer promising paradigms to address this challenge by providing asynchronous
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evolving needs of students and society. To read the full statement, click here: https://education.ucdenver.edu/about-us/strategic-plan Job Description * Applications are accepted electronically ONLY
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. For the project The Role of the Ocean in Earth System Stability PIK’s Research Department 1 Earth System Analysis, is offering a Scientific Position (PhD or Postdoctoral level) (m/f/d) (Position number: 04-2026
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that delivers end-to-end, combining infrastructure, data engineering, data science, and operations. To generate insight and digitalise business processes, we apply AI/ML to time-series analysis, natural