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willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming languages is
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architectures (e.g., convolutional neural networks or transformers); deep specialization is not required. Exposure to Generative AI concepts and large language models (LLMs) is a plus. Proficiency in Python
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing
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personal style willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming
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personal style willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming
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in bioinformatics or genomic data analysis, and possess strong programming skills in languages commonly used in bioinformatics, such as Python and R. Candidates should also have experience with genomic
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existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org
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. QUALIFICATIONS: The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and TypeScript. A solid foundation in machine learning, large-data
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Ph.D. with demonstrated R&D experience. Development experience with bash scripting and Python, and/or embedded development (C/C++/etc). Knowledge on cellular systems, 3GPP, open RAN. Knowledge of Linux