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of Computing and Information Science under the direction of Principal Investigator Rene Kizilcec. The NTO is a collaboration among Cornell University, Carnegie Mellon University, and the Massachusetts Institute
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the research group and will work with collaborators at other institutions (nationally and internationally) The successful candidate should have the following qualifications: PhD in Epidemiology, Data Science
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internationally) Requirements: The successful candidate should have the following qualifications: • PhD in Epidemiology, Data Science, Applied Mathematics, Computer Science, Statistics, Public Health, Economics or
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Required: PhD in Biomedical Engineering, Bioengineering, Computer Science, Biophysics, Computational Biology, Molecular Biology, Genomics, or a related field Proficiency in computational data analysis and
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for Advanced Computing. Essential Qualifications PhD in computer science, physics, chemistry, materials science, or a related field is required by the start of the appointment Experience with programming
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collaborative research efforts. 5% Professional Development. Requirements PhD Degree in computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years
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zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology, or related fields and the successful applicant must
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. Requirements PhD Degree in computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using
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for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer science
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(Investigating how climate change may increase risk of zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology