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and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With
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-Resolved Non-Uniform Sampling (TR-NUS) Nuclear Magnetic Resonance (NMR) and Time-Resolved Laplace (TR-L) NMR[1] using a low-field spectrometer. The main goal of the project is to develop and adapt
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system, Food Compass , under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian . Bringing together research, training, patient services, policy development, and community engagement
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Develop event-driven algorithms and software components for autonomous experiment control and adaptive image acquisition Build scalable, maintainable, and open-source software for high-throughput image
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to the development of next-generation thermal comfort technologies for Battery Electric Vehicles. The successful candidate will develop advanced thermal comfort metrics by combining physiological measurements
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(NLP) algorithms applied to electronic health records (EHR) to understand cannabis-related harms in aging PWH and people without HIV. The position will entail collaborations with several investigators
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 days ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
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the project. What you will do Conduct original and high-quality research in machine learning and computer vision; Develop novel algorithms for adapting and specialising visual foundation models; Publish
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codes and process their results. Helping to develop new models and algorithms to simulate pulse propagation, the material response, and other aspects of our experiments. Coding in Julia and python. Take a
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digital worlds. Its teams explore, design, and develop models and methodsboth physical and algorithmic—as well as new technologies that bridge the real world (matter and living systems), digital data, and