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! This position combines both practical acoustics measurements with simulations and finite-element modelling, and will allow a candidate to gain experience across the fields of architecture, engineering, and
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 1 month ago
absorption. Developing fast spectral radiance simulation techniques and implementing the observational system simulation experiment (OSSE) based on GISS climate model, which will be applied to research
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UnitedKingdomTime) Description: Apply Description Call for Applications to: 2026 Telluride Neuromorphic AI Workshop Telluride, Colorado, June 25 –July 15, 2026, https://tellurideneuromorphic.org We are now accepting
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crosslink highly diverse bioeconomic production systems and to control them in a knowledge-based, adaptive and largely automated manner. We conduct research in dialogue with society, policymakers, industry
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is part of the EUBURN program, led by CNRM (Météo-France/INSU, PI: C. Denjean; https://euburn.aeris-data.fr/ ), which addresses these gaps through coordinated ground-based and airborne measurement
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structural imaging (tractography, voxel-based morphometry, etc.) Experience working in the area of motor control and cognition Comfortable analyzing data in Matlab, Python, or similar languages Ability to work
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they will spend time on professional development activities and presentations on topics such as defining the words we use in this area of work, social change and leadership development models, event planning
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culture that helps students achieve their goals and fosters collaboration among employees. Rutgers–Camden is recognized as a national model for civically engaged urban universities and was selected by
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contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt/ Requirements Research FieldOtherEducation LevelMaster Degree
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based