16 Biology "Mathematics" positions at University of Washington in United-States in United States
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, reasoning, and problem-solving skills. Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics. Ability to analyze and interpret large complex
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the center of Earth to the rim of the solar system, and its activities cut across traditional disciplines of physics, chemistry, biology, geology, and mathematics. ESS faculty, students, and staff examine
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understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics. Ability to analyze and interpret large complex data sets, such as genome sequences, microarray
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Environments, Drama, Engineering, Foster Business, Mathematics Research, and Music Libraries. Regular schedule is Monday – Friday, between 8:00 a.m. and 6:30 p.m. as negotiated. May be scheduled days, evenings
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computer science or related field. Analytical, reasoning, and problem-solving skills. Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics
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Statistics, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar. Has at least 4 years of relevant experience as postdoc or other. Strong
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organizational skills, analytical, reasoning, and problem-solving skills. Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics. Ability to adapt
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supervision, support other research projects by performing other laboratory established protocols (10%) MINIMUM REQUIREMENTS • Bachelor's degree in biology, microbiology or related?field AND one (1) year of
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physically able to wear protective equipment and to provide standard care to research animals. Preferred Qualifications Ph.D. degree in Neurogenetics, Bioinformatics, Computational Biology, Statistical
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organizational skills, analytical, reasoning, and problem-solving skills. Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics. Ability to adapt