1,077 data-"https:"-"https:"-"https:"-"https:"-"I.E" Postdoctoral positions in United States
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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Posting Details Position Information Posting Number PG191606PD Position Number 00111818 Position Type Post Doc FLSA Exempt Departmental Information Department ID 170601 - Physics Department 170601
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Comprehensive Cancer
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, analyze data and clearly communicate results at internal and external meetings and conferences. Interact in a matrixed, dynamic and cross-functional manner across the Neurology Therapeutic Area, Research
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may be required. Appropriate safety training will be provided. With your application, please provide: Cover letter Prior Work/Research Summary Contact information for 3 references Minimum Qualifications
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activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click
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or more projects, learning advanced cellular and molecular biology and anaerobic microbiology techniques. The candidate’s day will be split between benchwork to generate data, and computer work to generate
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into clinically efficacious therapies in patients. Maintain accurate laboratory documentation of experiments, including raw experimental data and laboratory notebooks. Monitor progress of research projects and
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Comprehensive Cancer
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designing/programming experiments, recruiting/running participants, developing and using computational modeling approaches (Bayesian, RL, neural networks) to analyze behavioral and neuroimaging data