46 evolution "https:" "https:" "https:" "https:" "https:" research jobs at Cornell University
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field and laboratory protocols Personal and professional development 5% • Seek out and attend educational seminars and training workshops relevant to the research • Attend lab meetings • Continuously
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physics is required by the start of the appointment. Candidates also should demonstrate a strong record of accomplishment in data analysis and experience or interest in detector hardware development
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development 5% Seek out and attend educational seminars and training workshops relevant to the research Attend lab meetings Continuously maintain all required educational and position qualifications to fulfill
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detector hardware development. Appointments are nominally for one year, with the possibility of renewal up to five years total, subject to mutual satisfaction and the availability of funds under our NSF
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their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
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the field of genomics, evolution, population genetics, computational biology, biological informatics, quantitative genetics, or related fields. Strong background in plant genomics, quantitative genetics, and
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addition to research (95%), applicants will be encouraged to participate in career development activities (5%) both within and outside the university. The candidate will collaborate with pathologists to validate
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to pursuing a career in the field. In addition to research (95%), applicants will be encouraged to participate in career development activities (5%) both within and outside the university. The candidate will
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development efforts on their campuses. This collaborative research project will use mixed methods to investigate the experiences within one institution and develop insights that can be shared other institutions
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resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI