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interdisciplinary study that will assess the pre-/and post-radon concentrations following deep energy-retrofits scenarios of the large-scale national renovation strategy. INFORM will utilise a building physics model
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on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, or a related field completed before the start date of the position Demonstrated experience with astronomical data analysis and software development Proficiency in Python programming Experience with large
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
, or a related field completed before the start date of the position Demonstrated experience with astronomical data analysis and software development Proficiency in Python programming Experience with large
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for agriculture, offering a key solution for Europe's climate and energy transitions. Conventional ammonia synthesis via the Haber-Bosch process is operated at large scale (over 160 million tons
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
include: * Designing and carrying out studies; * Analyzing and interpreting data; * Publishing papers describing these results, all with the mentor. Career development of the Postdoctoral Trainee will be
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concentrations following deep energy-retrofits scenarios of the large-scale national renovation strategy. INFORM will utilise a building physics model (CONTAM), which will be parameterised based on representative
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of computer simulation models that are open for reuse by health researchers and the NHS. The post holder will conduct cutting edge research that builds on our preliminary research with Open Weight Local Large
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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competitive selection (SELEX), starting from artificial libraries of large numbers (~10^15) of distinct sequences. When the experiment succeeds, variants that perform the selected function well are enriched