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opportunity to field test and validate their methods using real-world systems. Postdoctoral fellows will work across the following research areas: Predictive machine learning Robust and stochastic optimization
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variants as functional and assess their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in
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Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Neurosciences Computational Biology / Data Analytics , Computational Biology , Computational
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of dairy farm operations regarding optimal and safe production of high-quality milk. Sustained New York State funding and constant revenue generated from fees for diagnostic testing and farm surveys and
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of alumnus Dev Joneja, PhD ‘89. Maxwell Fellows provide a bridge to enhance collaboration among faculty developing cutting edge tools in data science and in biomedical research, potentially spanning
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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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, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating actively in weekly lab meetings and research discussions (65%); • Write and publish
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modification and engineering of model and non-model microorganisms, designing, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating
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account, which may be accessed here: http://workday.cornell.edu/ Apply By All applications must be received on-line by 11:59 pm on 1/5/2026. Position closing dates may change based on Association needs
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independent and innovative research on the technical implications of decarbonization policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems