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Field
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models with explicit modeling of soil processes and plant growth. Familiarity with system dynamics and agent-based modeling approaches. Demonstrated ability to communicate complex technical findings
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deep expertise in modern machine learning and a strong record of research accomplishment who are excited to advance foundation models, agentic systems, and new AI approaches for high-impact scientific
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and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
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engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based surrogate model discovery are strongly
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(i) strong foundations in digital communications and statistical signal processing with (ii) hands-on implementation using reinforcement learning (including multi-agent RL), large language models (LLMs
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. ● Experience with mouse models. ● Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary
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. ● Experience with mouse models. ● Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary
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would be doing: You will apply a mathematical modelling approach (mechanistic ODE models, agent-based models, state-based transition models) to study multi-scale processes linking molecular mutation
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: Self-Exciting Point-Process Models of Continuous Home-Cage Behavior Across Genetically Diverse Mice. The project encompasses building behavior based indices of opioid withdrawal with the goal
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Position Description Postdoctoral Associate – National Tutoring Observatory Cornell University Description The National Tutoring Observatory (NTO) is based in Cornell’s Ann S. Bowers College