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Field
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data
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and present the results at national and international conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a
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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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for experimental surgery and medicine, animal facilities and also advanced scanners at our disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine
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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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Labor Relations website . Qualifications Required Qualifications: PhD or foreign equivalent in Biology, Molecular Genetics, Fisheries Science, Statistics or related disciplines Experience in basic
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background in scientific data visualization, uncertainty quantification, AI/ML, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral
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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or