11 Mathematics positions at University of Texas MD Anderson Cancer Center in united-States in United States
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of Mathematical and Computational approaches Identify issues of practical or theoretical importance and drive to solutions through innovative mathematical/computational approaches. Evaluate existing algorithms and
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methods essential for laboratory research. Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics
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, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Education Preferred: Individuals with a PhD in Biology, Computational Biology
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, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Eight years of experience in scientific software or industry programming with a
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Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related
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computer/keyboard X EDUCATION: Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational
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mathematical/computational approaches to molecular data analysis - Help maintain, support, and document shared tools, code base, and data sets, with opportunities to explore deeper and more complex software
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Mathematics, Statistics, Computer Science, Computational Biology, or related field. Preferred: Master's Level Degree Experience Required: Two years experience in scientific software development/analysis
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MD Anderson is known for providing cancer patients with exceptional care, which includes early access to innovative new treatments through clinical trials. The Institute for Applied Cancer Science (IACS) is a hybrid model that uniquely combines the drug discovery capabilities of the...
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Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. Preferred Education: Master's Level