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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
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of ecosystems. The project aims to: Improve our understanding of what controls net primary production of ecosystems. Develop upscaling methods to estimate whole-ecosystem transpiration from local measurements
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transpiration of ecosystems. The project aims to: Improve our understanding of what controls net primary production of ecosystems. Develop upscaling methods to estimate whole-ecosystem transpiration from local
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of neural activity with control of defined circuit elements and utilizing imaging, optogenetics, anatomy, high-density freely moving neurophysiology, behavior, and computation. Ideal candidates will have a
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statistical approaches. A fundamental understanding of Deep Neural Networks as applied to high-frequency time series datasets, including the ability to design and implement custom NN models in PyTorch, as
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parity-check codes and iterative decoders, investigating applications of quantum error correction in quantum computers and networks. We are interested in candidates with strong expertise in burst error
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Website Link https://phoenixmed.arizona.edu/cts/phd Location Greater Phoenix Area Address Phoenix, AZ USA Position Highlights A full-time Postdoctoral Research Associate position is available in
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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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activities as assigned. Minimum Qualifications The minimum qualification for this position is a PhD. The selected candidate must have a conferred PhD upon hire. Preferred Qualifications FLSA Exempt Full Time
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and relevant to research agendas. Additional duties may be assigned. Minimum Qualifications Must have completed all the requirements for a PhD. in Astronomy, Physics, Astrophysics, or related science at