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sensors such as 3D Lidar, camera images, radar, RTK corrected GNSS, and other autonomous vehicle instrumentation. -Capable of working independently and completing all the tasks required to satisfy sponsors
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application of machine learning (ML), AI, and data science algorithms for physics research projects and applications and interfaces for ML and AI algorithms in physics analysis code. 20%: Contributing
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). Experience with cloud computing environments (e.g., AWS, Azure). Experience or strong interest in cutting-edge geospatial technologies, including robots, VR, drones, sensors, etc. Strong interest in linking
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or education Familiarity with Qualtrics and Inquisit for data collection Proficiency with data pipeline management, including cleaning and coding algorithms (e.g., Python) Familiarity with psychometric analyses
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will have the following responsibilities: 70% - Develop or integrate novel statistical methods and algorithms for analyzing large-scale data. 10% - Identify and integrate new, cutting-edge molecular
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machine learning algorithm being tested as part of the research project. The employee will expect to preform other duties as assigned which could include data entry, data quality control, periodic support
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include (but are not limited to) AI/ML accelerator design, application of AI/ML for chip design and verification, domain-specific computing, heterogeneous architectures, hardware-algorithm co-design, and