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have a strong background in computational biology, expertise in statistical analysis and programming languages such as R, Perl, and Python, and a proven track record of leading bioinformatics projects
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Posting Information: PhD in Mathematics or Statistics is preferred. Excellent oral and written communication skills in English are required along with a strong publication record. The application must
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candidates are required to have a doctoral degree in either Transportation Engineering, Electrical or Computer Engineering, Computer Science, Statistics, Urban Planning, or a field closely related to
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as specified on the job posting details. Preferred: Certification in statistical analysis software (e.g. SPSS, SAS, STATA, and/or Python). Additional Job Posting: - PhD Degree Preferred. - Education in
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anomalous diffusion, mathematical statistical mechanics, information theory, and probabilistic number theory or geometry, who would complement and enhance the excellent group at the Department of Mathematics
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at the University of Houston. The position is funded by a new NIH R01 grant with the objective of developing low-resource statistical models that can reliably mimic the performance of expert readers in imaging trials
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quantitative background in biostatistics or econometrics Must have peer reviewed publications in statistical methods, econometric models, or other quantitative methods Expected to contribute to ongoing research
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in lieu of experience Preferred Qualifications: PhD degree in machine learning, statistical learning, or optimization. Minimum of 5 years of industry experience, with a strong focus on healthcare and
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, government accountability, and socio-economic inequality. Expertise in statistical methods such as data visualization and mapping, local area models or spatial analysis, randomized control trials, policy
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Research Manager - (STA012051) Organization : H0235 UH Level Core Facilities ULCF Description Provides expertise in support of research projects in engineering, biology, mathematics, statistics