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requirements to be integrated into the UAV under development.; ; - Development of Deep Learning algorithms for processing information from visible spectrum cameras, thermographic cameras, and LiDAR systems
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, mathematical logic or statistical learning theory. For PhD position 2, we appreciate prior experience in implementing deep learning models for graphs and networks. Our offer As a PhD candidate at UT, you will be
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purchasing policies, strategic sourcing goals, and operational standards. Success in this role requires both technical expertise and deep institutional knowledge of UCSF's supply chain processes, policies, and
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community college in the Minnesota State Colleges and Universities system. To learn more about our strategic vision, visit http://www.normandale.edu/Normandale2020. Connections working at Normandale Community
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Biology, Bioinformatics, Statistics, or a closely related discipline, and have an strong record of research productivity. The ideal candidate will have experience in deep learning, generative models
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learning libraries (e.g., PyTorch) Desirable criteria Research experience in one or more of the following areas: tactile sensing, robot grasping and manipulation, robot control, computer vision, deep
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continuation should a business need warrant it. Essential Duties/Tasks Deep-learning/AI model training, UI/UX Design, and Game Development Train and test generative AI and reinforcement learning models Design
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comparison to my peers. I am proficient in written and spoken English. During my courses or prior professional activities, I have gathered experience with machine/deep learning, and can demonstrate a strong
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independently and collaboratively Experience with deep learning frameworks, such as Tensorflow or Pytorch is advantageous Effective communication skills and an interest in contributing to a highly international
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an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while