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, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks (PyTorch, TensorFlow). Experience with dataset curation, annotation
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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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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 frameworks such as PyTorch or TensorFlow. Excellent
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: Experience with AC impedance spectroscopy, electrical resistivity measurements, or chemical durability testing. Basic programming skills (e.g., MATLAB, Python) for data handling and sensor signal analysis
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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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efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject
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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