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will have strong experimental skills in chemical or materials synthesis and characterization, with the ability to learn new polymerization methods and relate molecular structure to material performance
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. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2 diabetes, metabolism, and/or
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 20 hours ago
. Examples include: determination of high-resolution shape models using shape-from-shading or novel machine-learning methods; studies of high-resolution shape models for geophysical and geological studies
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of the multidisciplinary TrAI-SOC project, coordinated in collaboration with UGA's CERAG laboratory. SocSIM-K: https://lig-socsim-k.imag.fr/ LIG: https://www.liglab.fr/en Activities Design the game and define all of its
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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The ultimate objective of this project is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover
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, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a
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interests, and at least 2 letters of recommendation, all in PDF format. For any questions, please email Professor Julian Barreiro-Gomez at [email protected]. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu
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email Yvonne Valles: [email protected]. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a
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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing