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Field
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the total compensation value with benefits. Qualifications Experience developing software to take practical advantage of state-of-the-art ML algorithms and research results in AI. (Required) Experience
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support
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, portion estimation algorithms, and the integration of large language models for the PlantVillage Food app. Manage partnerships and coordinate activities with key stakeholders including, but not limited
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document algorithms to detect and quantify disease-relevant patterns. • Contribute to both in-house and open-source software initiatives. Research Communication & Collaboration (20%) • Assist with
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, planning, and algorithmic functions for robots. Topics will include data representation, memory concepts, debugging, recursion, search, abstractions, threading, and message passing. Course materials are
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and intermediate level, with a focus on programming control, perception, planning, and algorithmic functions for robots. Topics will include data representation, memory concepts, debugging, recursion
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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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Duties & Responsibilities Collaborates with management, departments, and customers to identify end-user requirements and specifications. Duties & Responsibilities Designs algorithms and flowcharts