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Field
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity to interrogate publicly available resources. Preferred Qualifications Education: No
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Postdoctoral Research Associate, Department of Basic Medical Sciences(College of Medicine - Phoenix)
, Skills & Abilities: Excellent laboratory and analytical skills and commitment to scientific excellence and innovation. Knowledge of statistics and data analysis and interpretation. Ability to conduct
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publications. Qualifications Required Education and Experience: PhD degree in any of the following: plant biology, plant physiology, analytical chemistry, genetics, biotechnology, food science, or other closely
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theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level policies and procedures
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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for impactful implementation science and community-engaged research. The Department is the academic home for graduate education leading to the MHSA, MPH, MSCR, and PhD. The Department is home to
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Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the Electrical and Computer Engineering
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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systems Knowledge, Skills and Abilities: Strong quantitative and analytical skills, including experience with genomics data analysis (R, Python, or related tools) Excellent written and verbal communication