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Master’s degree is preferred; however, the minimum requirement is a Bachelor’s degree in physics, computer science, or a related discipline. The role requires strong programming skills in Python, competency
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: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with C++ for high
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robotic systems for real-world tasks. Strong publication record in top-tier venues: ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC. Proficiency in Python, C++, ROS, and machine learning
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/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks
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research experience in conducting experiments for field robotic systems Proficient programming experience in embedded, real-time software in C/C++ and Python with several years of practice Experience in
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omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff. For consideration, applicants need to submit a cover letter
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. Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with 3D data formats, graphics, and geometry processing. Preferred Qualifications Hands-on experience
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ecosystems (React, Node.js, React Native) Python web frameworks (FastAPI, Django, Flask) Database systems (SQL and NoSQL) Cloud platforms (AWS, Azure, or Google Cloud) Container orchestration (Docker
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OR Physics informed AI Experience with Python, MATLAB, Pytorch, or other scientific computing tools of the area Track record of mentoring students in cross-disciplinary or project-based learning Application
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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development