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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
project. The position will provide core expertise in physics-based environmental and ocean modeling, with emphasis on numerical simulation and prediction of ocean conditions such as currents, tides, waves
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the design and operation of next-generation thermal systems, developing strategies to model, optimize, predict, and autonomously control thermal systems behavior in complex systems. The candidate will
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fluxes and acidification in global marine P cycling through a combination of field work in the North Atlantic Ocean, laboratory experiments and numerical modelling. A scientific cruise with our research
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
. The successful applicant will develop physics-based and empirical models for uncertainty in acoustic propagation and validate them with existing ocean acoustic data sets. This position is fully funded for two
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
-water-balance processes turns satellite soil moisture into an independent constraint on precipitation — a "natural rain gauge" complementary to atmospheric retrievals such as GPM, particularly over
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
physiological status, nutrient use efficiency, water stress, and land cover/land use dynamics across tropical social-ecological systems to enhance food security models. Multi-Sensor Integration & Biogeochemical
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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generation of MOF water adsorbents with optimal indoor air humidity control performance by leveraging state-of- the-art high-throughput (HT) computational screening based on Machine-Learning Interatomic