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Field
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(SCIPP) at the University of California, Santa Cruz invites applications for a postdoctoral scholar position in the Fast Sensors R&D group at SCIPP. As a leading academic facility for R&D in sensor and
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, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred Qualifications: Experience with analyzing multi-wave longitudinal and intensive
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Health Sciences Address 1703 E. Mabel St. , Tucson, AZ 85721 USA Position Highlights The Chen lab in the Department of Pharmacology and Toxicology at R. Ken Coit College of Pharmacy, University of Arizona
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cannot be used for this initiative. All instructions in the SF424 (R&R) Application Guide and PA-18-591 must be followed, with the following additions: Table of IC-Specific Information and Requirements
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graphpad prism and R Pay and Benefits Pay Range: $62,232 - $75,564; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information
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data using MEFISTO. Nature Methods (2022) Kleshchevnikov, Vitalii, et al. Cell2location maps fine-grained cell types in spatial transcriptomics. Nature Biotechnology (2022) Argelaguet, R., et al. Multi
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models using software such as GAMS and Python. Econometric modeling skills using statistical software (e.g., Limdep, Stata, EViews or R). Strong programming skills with R and Python. Excellent oral and
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. • Demonstrated ability or potential to lead graduate student research. • Experience with Matlab, R, Python, C++, or Julia. • Experience collecting data from human subjects. Exempt: Not eligible for overtime
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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with large-scale human omics (preferably related to neurodegeneration) studies is expected. Preferred Qualifications: Skilled in at least one programming language (R, Python or Perl) and experience