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economic impact in New York State and beyond. The successful candidate will use novel methodologies, digital tools, and sensors to understand and optimize CEA crop physiology and quality in response
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, and Residents, as well as other staff throughout the hospital, providing optimal patient care for our clients/owners. Specifically, the Animal Attendants will: Perform large animal care and handling, as
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and beyond. The successful candidate will use novel methodologies, digital tools, and sensors to understand and optimize CEA crop physiology and quality in response to environmental factors and towards
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
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monitoring, labor optimization, and sustainability outcomes. We are seeking a highly motivated and collaborative Research Associate with expertise in digital agriculture, applied machine learning, and
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equilibrium/simulation, surrogate models/ reduced order emulators or Bayesian or interpretable machine learning. Simulation and optimization of on-demand transportation services or novel transit systems and
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thin film processes related to nanotechnology, as well as integrating these processes into higher level modules. Optimizing both performance and reproducibility. Maintaining process control charts as
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optimizing experiments, collaborating with other lab members to support complementary projects, participating actively in weekly lab meetings and research discussions (65%); • Write and publish high-quality
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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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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