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attitudes. The successful candidate is expected to contribute to the research project while also having time for independent research. There will be a very light teaching load Where to apply Website https
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of research this position is engaged in: The Bowen lab leverages wide-scale neural recordings, predictive modeling, and continuous glucose monitoring with the goal of building foundational integrated (“multi
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': https://wellcome.org/research-funding/funding-portfolio/funded-grants/control-without-closure-school-level-approaches The contact study aims to improve our understanding of how and where school pupils
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support the research and development of a new generation of light source based on gas-filled hollow fibers. Despite the rise of novel nonlinear materials, the generation, control and application of light
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position is being recruited: There will be a shortage of experts with advanced knowledge of simulation models related to riverbank and riverbed variation phenomena based on sediment hydraulics, which
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morphodynamics of geologically controlled coastal barriers, including expertise in analysis of satellite imagery and implementation of XBeach model to mixed sand and rocky coastal systems. Preferential factors
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 27 minutes ago
(GMAO), is a comprehensive Earth system model and data assimilation system. The GMAO assimilates aerosol optical depth (AOD) observations from space-borne (e.g. MODIS, VIIRS) and ground-based (AERONET
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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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-based models for biological and medical image analysis. Processing, interpreting, and presenting experimental data (using tools such as SPSS, and Python Pandas). Contributing to scientific publications
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. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and reinforcement learning approaches that adapt lineup presentation in real time based