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, generating insights that directly support evidence-based malaria control strategies. This position offers a unique opportunity to work at the cutting edge of vector genomics, contributing to a global effort to
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
of cutting-edge remote sensing observations and process-based models to study terrestrial and coastal ecosystems that are under increasing threat from a range of factors including wildfire and other
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change when firms develop or adopt AI models how firms can retain strategic control in an economy where global platforms often set the rules of the game. You will work closely with both startups and
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strive to achieve this goal through partnerships, education and the balanced use of effective controls that align with the University's responsibilities and mission. About the Position: The IT Security
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division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation of dynamical systems. However
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the potential of heat and flood mitigation strategies using nature-based solutions, in particular green–blue infrastructure, interacting with existing grey infrastructure. The focus is on modelling
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. Responsibilities include conceptualizing and implementing statistical and structural models, developing scalable algorithms for system optimization and control, conducting policy-relevant economic analysis
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» Modelling tools Engineering » Control engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe
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Position overview Position title: Public Health Salary range: A reasonable salary range estimate for this position is $76,700 - $136,600. The posted UC academic salary scales (https://www.ucop.edu
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to offer a deeper analysis of this class of stochastic processes concerning their stochastic and statistical analysis and to propose some non-Gaussian stochastic models, based on (generalized) Hermite