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Field
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Demonstrated research experience in computational physics, machine learning, or related areas. Practical experience in developing novel AI/ML models and algorithms. Experience collaborating in multidisciplinary
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the future of pediatric oncology, neurodegenerative disorders, and sickle cell disease. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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++. Strong analytical and problem-solving skills to identify and resolve issues related to software development and research. Understanding of fundamental data structures and algorithms for designing and
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tools to perform necessary work. Assists with the deployment of various types of data collection systems, sensors, and components. Position requires extensive travel, to off-site locations
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illustrative example of this strand of research: “I Spent More Time with that Team”: Making Spatial Pedagogy Visible Using Positioning Sensors. LAK 2019 [PDF ]
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controllers, sensors, and actuators. Assessing and upgrading existing control systems as required. Providing technical support to the Controls Supervisor and the assigned technicians. Ensuring all Penn State
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language learning, graph neural network Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems Proficiency in using Python and machine
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materials, trusted AI and autonomy, robotics, FutureG, human-machine interfaces, and integrated sensors. We are looking for talented individuals to join our team and truly make an impact by helping to solve
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EmoRoom (Emotion + Classroom), an interactive visual analytics system to analyze and summarize student emotions from classroom videos, using emotion recognition algorithms and intuitive visualizations