Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
%) Direct research program in AI/ML applications for climate science, including supervising team members, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting
-
, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods. (30
-
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
-
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
-
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
-
, such as genetic and machine learning algorithms and other innovations Partner with the accelerator physics group on research endeavors, such as wakefield calculations and electron cloud studies Control
-
learning algorithms and other innovations Partner with the accelerator physics group on research endeavors, such as wakefield calculations and electron cloud studies Control Software Group Leadership
-
in requirements gathering to ensure that the annotation models implemented match user needs and expectations Translate findings into requirements for the engineering team to inform the algorithms
-
vision. Demonstrated experience in algorithm development and structured programming ability. Experience developing software tools and algorithms to process images or acoustic data. Extensive Python
-
analyzing ecological and bioacoustic data for wildlife conservation. Experience applying deep learning algorithms to passively recorded audio data. Ability to plan and conduct fieldwork in a range of habitats