15 computer-"https:" "https:" "https:" "https:" "https:" "https:" research jobs at Cornell University
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, Chemical, Mechanical, Operations Research, Computer Science, Engineering Management), French, Actuarial Science, Biology, English Literature, Statistics, Physics, Physiology, Psychology . Relevant
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(Ithaca, NY) is seeking a creative, computationally driven Postdoctoral Associate to help invent the next generation of liquid biopsy technologies. The De Vlaminck Lab ( https
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Bachelor’s degree in biology, microbiology or related science discipline and up to 2 years of experience, or equivalent combination of education and experience. Basic computer skills. Strong attention to
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Bachelor’s degree in biology, microbiology or related science discipline and up to 2 years of experience, or equivalent combination of education and experience. Basic computer skills. Strong attention to
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Institute and Cornell Center for Advanced Computing. Essential Qualifications PhD in computer science, physics, chemistry, materials science, or a related field is required by the start of the
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students in research activities Requirements: Ph.D. in Engineering Education, STEM Education, Engineering, Computer Science, or a related field. Demonstrated expertise in quantitative, qualitative
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qualifications: PhD in Epidemiology, Data Science, Applied Mathematics, Computer Science, Statistics, Public Health, Economics or related computational field. Demonstrated experience in epidemiological
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attention to detail. Ability to work independently, manage multiple priorities, and meet deadlines. Proficiency with standard computer applications and willingness to learn new tools as needed. Position
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. in civil engineering, operations research, computer science or closely related field. To apply: Application materials must be submitted on-line through AcademicJobsOnline at https
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, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using relevant AI/ML/related techniques and genomic data