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. SDR Expertise: 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
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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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, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML
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related discipline. The role requires strong programming skills in Python, competency in data analysis and scientific computing, and the ability to work with large datasets. Familiarity with machine
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, organization of scientific workshops, and attendance at conferences. Key qualifications include a PhD with at least 3 years in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest
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, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical experience with robotic hardware, software development (e.g., Python, ROS, PyTorch, TensorFlow), and AI-based
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will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical
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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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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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, 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