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Field
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million, 5-year NSF EPScOR grant entitled SMART FireS (Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science). Duties and Responsibilities Develop a nationally recognized
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to the development of smart AIoT prototype for monitoring. Key Responsibilities: Build and test AIoT prototype Develop and deploy self-navigation algorithms. Publish several papers in top journals. Write proposals
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, implements, and maintains data collection systems and strategies. 3. Performs statistical analysis and apply data mining techniques. 4. Develops algorithms and design experiments to merge, manage, interrogate
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motivation to conduct research in robotics and AI Desirable Qualifications: Experience with real robots (Franka Emika, UR5, tactile sensors) Familiarity with Robot Operating System (ROS) Publications or strong
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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Sessional Instructional Assistant - MAT302H5F - Intro to Algebraic Cryptography (emergency posting)1
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 7 days agocryptography, from Euclid to Zero Knowledge Proofs. Topics include: block ciphers and the Advanced Encryption Standard (AES); algebraic and number-theoretic techniques and algorithms in cryptography, including
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intracranial neurophysiology, wearable sensor data, medical imaging, behavioral task data, and clinical data. The scientist will assist with data collection, data analysis, help with study design, and contribute
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Position Summary: Are you a passionate EO/IR engineer seeking to push the boundaries of innovation? Look no further than the University of Dayton Research Institute's (UDRI) Sensor & Software
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regarding this requirement, please reach out to the Financial Aid Office. Knowledge of the various social media platforms and algorithms associated with each site Attending all games, community service events
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Learning Develop computer graphics and machine learning algorithms (e.g., SLAM and Gaussian Splatting), and evaluate their accuracy in scene reconstruction and camera trajectory estimation using videos