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Field
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& Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning through Stochastic Control (a brief description of each these is as follows (additional details
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different recurrent patterns can coexist and interact and it is a robust platform on which to build low-order models for deployment in industrial applications. However, to date this approach has been
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), depression, anxiety, substance use disorders, and related traits. Work will focus on (a) genetics of posttraumatic stress disorder, suicidality, substance use disorders, depression and anxiety, and many
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, depression and substance abuse. This knowledge will facilitate the development of orexin-based therapies that can effectively treat the multifaceted symptoms associated with this neural system. This Post Doc
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degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions
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closely with engineers responsible for low-noise electronics, digital signal processing and FPGA development. * Contribute to the integration of new functionalities into REFIMEVE laser stations and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 6 days ago
, and interpret past and present data from missions that observe ice features. In our laboratory we prepare ices by using a cryostat to condense gas-phase mixtures to temperatures as low as 10 K. The ices
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to enhance chickens' ability to digest high-fibre, low-cost feeds. You will lead the bioinformatic analysis and integration of cutting-edge multi-omic datasets to unpick the complex microbial mechanisms
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defect formation in halide perovskite thin-films. Halide perovskites are a class of low-cost, high-quality semiconductor materials which have the potential to enter and make significant impact in
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combined mHealth-telehealth symptom cluster (sleep, worry-anxiety, fatigue, depression) intervention for people with advanced cancer (1R01CA281885-04A1). This study will also examine the effectiveness