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machine learning algorithms and techniques to materials science problems, including supervised and unsupervised learning, deep learning, and reinforcement learning; Experience with data preprocessing, model
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working with AI/ML experts for optimization algorithm development and associated experts for integration into the experimental workflow. You will work with a team that possesses focused skill sets (subject
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for optimization algorithm development and associated experts for integration into the experimental workflow. You will work with a team that possesses focused skill sets (subject matter expert, AI/ML, robotics and
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algorithm development, countermeasure testing, and integration of C-UAS detect-and-identify systems. It supports research on RF sensing, direction-finding, and signal classification for UAS geolocation and
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to candidates who have co-authored at least one scientific publication (submitted or accepted). Experience with population genetics , bioinformatics and/or comparative genomics is advantageous for this position