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and algorithm-based technologies in service occupations, with a focus on how collective bargaining and other forms of collective worker voice influence these strategies and worker outcomes. The US
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algorithm-based technologies in service occupations, with a focus on how collective bargaining and other forms of collective worker voice influence these strategies and worker outcomes. The US research will
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models implemented match user needs and expectations Translate findings into requirements for the engineering team to inform the algorithms, models, annotations, and ultimately the data is made available
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of Mathematics at Cornell. Members of the lab engage in interdisciplinary research, drawing on approaches from geometry, topology, graphs and networks, probability/statistics, and algorithm design, in conversation
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, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30
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for controlled environments with 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
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., operate sensors, instruments, and equipment for data collection, analysis, and management. Excellent communication skills (both oral and written). Strong organizational skills. Ability to prioritize
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that the annotation models implemented match user needs and expectations Translate findings into requirements for the engineering team to inform the algorithms, models, annotations, and ultimately the data is made
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and computational techniques, to understand the algorithms and mechanisms that support flexible behavior. We use large-scale electrophysiology and imaging to record hundreds to thousands of neurons
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novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30%). Drive