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, Skills & Abilities: Research Methodology & Critical Thinking: Strong foundation in research methodology, critical thinking, and problem-solving abilities. Data Analytics & Statistical Analysis: Proficiency
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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Safety Report In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report
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Excel. Familiarity with statistical analysis is useful. Applicant must have demonstrated the ability to successfully carry out experiments in a laboratory setting. Additionally, the applicant must record
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guidance from expert PET researchers and statistical support (from the Biostatistical Consulting Core). In addition, the candidate will have access to numerous internal funding mechanisms to obtain funding
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-motivated, creative, productive, and organized. Successful candidates should possess expertise in statistical programming languages such as SAS, Stata and/or R. There is funding available for these positions
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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capabilities. Experimental design, laboratory execution, data analysis, and statistical quality control. Required Education PhD Degree in Biochemistry, Molecular Biology, Molecular Genetics, or closely related
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literature (relative to opportunity), especially on topics relevant to the project objectives demonstrated experience with simulation modelling and coding, especially biophysical modelling advanced statistical
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(or near completion), in civil and/or environmental engineering or a closely related area in data science, applied statistics, or geoscience Demonstrated ability to publish in the scientific literature