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the area of Neurosciences and/or Network Analysis. Ability to perform advanced structural and functional image analysis. 6 years of experience in Neuroscience. Responsibilities Research Under general
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network excitability following traumatic brain injury using a variety of techniques, including in vivo whole-cell recording and two-photon microscopy, brain slice physiology, and genetic manipulation
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-driven control for autonomous vehicle systems with an emphasis on 5G/6G Open RAN (near-RT RIC, xApps/rApps) and vehicular edge computing. The postdoc will design and evaluate networking architectures and
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and control. Experience with physics-informed methods. Practical experience with networking, communication protocols, and virtualization. Preferred Knowledge, Skills, and Abilities Experience in
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TAMU. Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in the environment. Knowledge of characteristics associated with mild cognitive
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solutions and have the opporutnity to contribute to world-class research, we encourage you to apply! Opporuntities to Contribute Develops dynamic river-lake network models to track the geochemical and
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operators or Physics-Informed Neural Networks (PINNs) in computational fluid dynamics is an advantage. The postdoctoral research associate will join a growing, multidisciplinary research team and will have
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Education and Experience: Appropriate PhD in a related field. Preferred Qualifications: Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in
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understanding of the mathematics of neural networks. Prior significant contributions to advanced machine-learning or deep-learning models. Evidence of having led a key research project, indicated by a first