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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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researcher with a strong background in cell and molecular biology of cancer and cancer therapeutics/drug discovery development. This project will be defining targets of therapy in a variety of human and murine
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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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://phoenixmed.arizona.edu/cts/phd Location Greater Phoenix Area Address Phoenix, AZ USA Position Highlights The Radovick Lab at UArizona Phoenix has an opening for a post-doctoral researcher to study the role
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murine BMT models, and donor graft manipulation and pharmacological interventions. Candidates should have a PhD or MD and a strong foundation in cellular and/or tumor immunology. Candidates with a
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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
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troubleshooting custom measurement systems. Skills in data analysis including scientific programming. Ability to communicate professionally and work in interdisciplinary teams. Minimum Qualifications PhD in related
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should have a PhD, DVM, MD or MD/PhD and a strong foundation in genomics, genetic intervention techniques and immunology. Candidates with a background in lung research and experience with rodent models