33 data-science-phd Postdoctoral positions at The University of Arizona in United States
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Sign In Create Profile Postdoctoral Research Associate, Electrical and Computer Engineering Tucson, AZ, United States | req24106 Apply Now Share Save Job Posted on: 10/6/2025 Back to Search
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institutional needs evolve. Minimum Qualifications A Doctoral degree in Aerospace or Mechanical Engineering or other related field of study. Must have PhD conferred upon hire. Federal regulations require
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Qualifications PhD in Robotics, Electrical & Computer Engineering, Mechanical Engineering, Biomedical Engineering, Computer Science, or closely related field. Must have PhD conferred upon hire. Preferred
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, demonstrated by a strong publication record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or
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record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or MD/PhD degree, and be self
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manuscripts, and present data in research conferences. Contribute to grant applications. Knowledge, Skills, and Abilities: Strong background knowledge in molecular and cellular biology techniques (qPCR, Western
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of in vitro cell models and in vivo animal models (viral/fungal) Knowledge of general pathophysiology and molecular biology Proficiency in data analysis Strong problem-solving and experimental design
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Associates. The ideal candidates will possess a doctoral degree (PhD or MD) and have a strong background in molecular biology and physiology. There are three major projects in the lab: 1) studying the role
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is available in the laboratory of Dr. Terry O Matsunaga, Pharm.D, PhD in the Department of Neurosurgery and Biomedical Engineering at the University of Arizona (Tucson, AZ). The successful candidate
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career scientist with background in organic geochemistry, statistics, and Bayesian modeling to pursue analyses of paleoclimate biomarker data. The ideal candidate should be proficient with both laboratory