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(Python, JavaScript), deep neural networks and computer vision; Design and implementation of database systems; Design and implementation of application programming interfaces, server-based and cloud
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science. Practical experience in Python programming and database management. Exposure to cloud computing environments and API integration. Development of skills in machine learning and data analysis
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spectrometry data analysis or metabolomics is highly desirable Experience with cloud computing platforms and distributed computing tools Experience with deep learning architectures such as CNNs, LSTMs, and
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Retrieval and Extraction) Privacy, Safety, and Security Quantum Computing Software Engineering and Programming Languages Systems, Networking, and Cloud Computing Evaluation Criteria Applications are evaluated
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. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health, bio-signal processing, and wearable
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PyTorch, TensorFlow, and Scikit-learn. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health
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lasting impact. Review our detailed benefits information here. Explore the additional perks of working at CSU here . For the total value of CSU benefits in addition to wages, use our compensation calculator
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techniques for the accurate detection, classification, and tracking of VRUs using video and point cloud data. Develop innovative sensor calibration and fusion techniques to improve the precision and
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. The successful candidate will use very high-resolution simulations (Cloud Model 1) to study the interaction between tornadoes and the built environment to understand how tornado dynamics evolve over urban