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household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
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Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets Free access to UT Austin's libraries and museums with staff ID card Free
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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engaging experiential and professional learning opportunities that enhance the educational experience for students. Additionally, the curator will assist in maintaining the integrity of the permanent art
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studies. Strong background in AI/ML fundamentals and extensive experience with deep learning (DL) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
. To gain deep insights into the fundamental physics of such flows, you will perform cutting-edge DNS on state-of-the-art high-performance computers. Leveraging conventional physical analyses and innovative
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Work Where You Learn: Build Experience, Grow Skills, and Contribute to Your University Community. This position is available only to enrolled American University students. Most student positions
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Research Organization of Information and Systems, National Institute of Informatics | Japan | 3 months ago
the expertise listed within the <> tags. 1) Principles of Informatics Research Division: Algorithms, , machine learning, post deep learning, big data analysis, data mining, secure computation, privacy preserving
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of reproducible code by using code sharing platforms, version control, workflow languages and container solutions is a merit. Experience in training deep learning-based models on HPC-resources is also meriting. A
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of a peer learning community. More information about our department and instructional programs is available at https://www.cpp.edu/cs/ . Position description: The Department of Computer Science at Cal