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Classification Title: AST/ASO/FULL PROF Classification Minimum Requirements: • Ph.D. in computer science or related field • Expertise in AI/ML, deep learning • Expert proficiency in Python, PyTorch
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. Training LLMs, large-scale deep learning systems, and/or large foundation models using GPU/TPU parallelization while setting up the environment/system network under various constraints, such as limited
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Research Infrastructure? No Offer Description TASKS/ROLE * conducting research under the project Design-ready forward and inverse surrogate modeling of high-frequency structures using deep learning and
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experiment with an innovative academic structure. With Hubs and Thrusts instead of Schools and Departments, it is geared to promoting interdisciplinary learning in a restless search for innovative solutions
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status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon
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. Detection of elements in freight wagons from images using AI techniques – Deep Learning. 2. Detection of defects from images using AI techniques – Deep Learning. 3. Validation on a Digital Twin and real
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
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workplace. To learn more about our culture and hiring process, explore our Jobs at Macquarie page. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405466/lecturer-t-and-l-pr
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: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. Software
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to contribute to an innovative research program at the intersection of artificial intelligence and scientific advancement. This position demands a deep understanding of both the fundamental AI and its