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at https://www.gov.uk/check-uk-visa . Please do not hesitate to contact Grant Rae, HR Adviser (e-mail: grant.rae@abdn.ac.uk ) for further information. To apply online for this position click the 'Apply
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 15 hours ago
, computer science or physical or biological sciences with experience in training and evaluation of AI systems. This may include development of robotic systems, training of neural nets for data assimilation
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Minimum: $87,624.00 annual Pay Range Maximum: $142,392.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff
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, the College has designated a probationary period of 12-months for an Associate to be trained and assimilated into the College and to ensure all job responsibilities are met. All instructors are required
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probationary period of 12-months for an Associate to be trained and assimilated into the College and to ensure all job responsibilities are met. All instructors are required to possess the technology required
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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, and advanced hydrologic modeling to projects in flood forecasting, remote sensing data assimilation, hydraulic modeling, environmental flows, and decision-support systems. The role involves developing
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agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation techniques for agricultural and environmental
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environmental and management factors, interacting with the FORWARDS project consortium. The activities will contribute to the development of assimilation routines and data processing to evaluate responses to both
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or oncology. F2 Experience in Bayesian modelling, probabilistic programming or uncertainty-aware machine learning. F3 Experience with inverse modelling and data assimilation. F4 Experience working with