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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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and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business Decisions, Data Visualization; Highly Desired: Text
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of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large
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conducting experiments for training and evaluating deep neural networks Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning Experience in dealing with large medical
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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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solutions and applying them in real-world scenarios. Proficiency with machine learning frameworks and pipelines in SKLearn, Numpy, Pandas, and PyTorch. Proficiency with deep learning frameworks such as
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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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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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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
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computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow). Experience with eye-tracking data collection or analysis. Familiarity with deep learning frameworks (PyTorch