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the growth of carbon chains. • Collaborate with astrochemists and observers to validate theoretical predictions. This position will focus on modeling dust production in supernova explosions, a key process for
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research assistants. Other research and lab duties may be assigned to help enhance the productivity of Dr. Sahoo’s lab and the postdoctoral experience. Position Status Full Time Posting Number 26FA0753
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, weather-resolved mapping of FLOW costs in Irish waters, alongside GIS layers for site accessibility, annual energy production and visual sensitivity, a web-based LCOE calculator, and a multi-criteria
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 10 hours ago
, temporally resolved datasets of forest structure, biomass, and carbon trajectories; and spatially explicit products describing forest resilience and recovery. The research will extend Prithvi-based Earth
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productive scientific results Preferred Qualifications Equipment Utilized High-performance computing; cloud computing; local workstations. Physical Demands and Work Environment Work will be performed in
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record or other evidence of research productivity. Excellent written and oral communication skills. Excellent problem-solving, analytical, and critical-thinking abilities. Research experience in one
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laboratory of Wendy Gilbert and will involve training and mentorship across both laboratories. Lab website: http://campuspress.yale.edu/thoreenlab . Qualifications PhD in Biology, Biochemistry or a related
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assignment in GSD 03/CHEM-05 SSD CHEM-05/A, for the research program: “OS4.2 - Development of a pharmaceutical development platform, in particular with scale-up studies for subsequent industrial production
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production, improving productivity, and reducing reliance on imported produce. Vitrum is led by Dogtooth Technologies in partnership with APS Produce and the University of Lincoln, bringing together expertise
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viral vectors, cell culture, flow cytometry, and recombinant protein production is required. The candidate must have technical proficiency in mass spectrometry data analysis, large-scale data processing