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-scale biological data, developing; implementing algorithms, computational tools, or frameworks Uses a variety of software packages to input, manipulate, collect, and record results or observations
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members. Participate in traffic scenario generation project and pedestrian modeling project. Develop sophisticated AI-driven algorithms that create realistic, safety-critical test scenarios for autonomous
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; comfortable developing production‑grade code and APIs. Solid understanding of ML theory, statistical learning, and common algorithms. Hands‑on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep
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(HPC), distributed and scalable computing, compiler technology, and algorithm optimization. Additional expertise in applying AI/ML to electromagnetic spectrum operations is desired. Duties Lead novel
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; comfortable developing production‑grade code and APIs. Solid understanding of ML theory, statistical learning, and common algorithms. Hands‑on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep
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other tasks assigned to you Responsibilities: Create algorithmic solutions for sample-efficient robot policy learning Validate and polish solutions in simulation Collaborate with team members
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), distributed and scalable computing, compiler technology, and algorithm optimization. Additional expertise in applying AI/ML to electromagnetic spectrum operations is desired. Duties Participate in novel
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on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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to seek other avenues of advancing algorithmic foundations in robotics. Lab maintenance, including equipment maintenance and ordering of supplies may be required depending on area and specialty
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interaction Research and design multi-modal foundation models to enhance robot autonomy, social perception and collaborative decision making Design and build machine learning algorithms and frameworks