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Veterinary Medicine ● Variant discovery and genome annotation: Apply deep learning and graph-based models to improve variant calling, transcriptome annotation, and functional prediction in veterinary-relevant
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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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in Lithuania ranked as the nation’s leading institution in research and high education. Today VU integrates deep academic traditions, wide scale of research together with a forward-looking vision via
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace
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and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision
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. Learning Objectives: Develop deep expertise in the principles and practices of scientific and medical communications. Understand the strategic role of communications in product lifecycle management. Gain
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and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
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of faculty at SUNY Polytechnic Institute and the University of South Florida, consisting of mathematicians, physicists, computer scientists, and engineers investigating applications of deep learning
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to streamflow as a function of climate and landscape controls, using deep learning and explainable AI Communicate and discuss results with stakeholders to integrate the findings into water management
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AI and robot learning Vision-language-action (VLA) or multimodal AI modeling Perception, control, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical