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Field
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/ Knowledge / Abilities PhD in statistics, biostatistics, epidemiology, bioinformatics, data science, computer science, or related. Should have strong programing skills and knowledge of statistical modelling
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Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other
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Job Description Required Qualifications: PhD (or foreign equivalent) in Biotechnology or a closely related field. Demonstrated ability to plan and coordinate research workflow and work on data generated
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Postdoctoral Associate Required Qualifications: PhD (or foreign equivalent) in Biotechnology or a closely related field. Demonstrated ability to plan and coordinate research workflow and work
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for the employee and qualified family members; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information
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oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: PhD in statistics, physics
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-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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Postdoctoral Associate Required Qualifications: PhD (or foreign equivalent) in Biotechnology or a closely related field. Demonstrated ability to plan and coordinate research workflow and work
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
-malignant blood diseases, such as sickle cell disease, bone marrow failure syndromes, and myeloproliferative disorders. This premier NHLBI-sponsored T32 training program leverages the exceptional research
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science