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network model architectures: LSTM, CNN, RNN, Encoder-Decoder-based approaches, and Transformer-based approaches for time series data. Demonstrated experience with classification and regression techniques
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quantum error correction codes and decoders, and provide technical leadership in the area of classical and quantum error correction. Develop error correction coding and decoding software for use in the lab
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the research through dissemination of results: presentations. Development of extramural funding opportunity proposals. Basic competence in statistical analysis software. Participate in trainings with T32 Post
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here . Duties & Responsibilities Perform research and develop a software platform related to deep learning and security/privacy. Mentor and collaborate with undergraduate, masters students, and Ph.D
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meetings, supervising/mentoring graduate and undergraduate students). Additional duties as assigned. Knowledge, Skills, and Abilities: Advanced Python and ArcPy programming skills. Advanced v-sri software
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Abilities: Proficiency in statistical software (R, SAS, or STATA). Excellence in scientific writing and communication. Track record of peer-reviewed publications. Ability to work independently and as part of