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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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spearhead technical development, data analysis, and publication efforts for a student-led initiative using OpenBCI hardware, EEG recordings, eye-tracking integration, and machine learning to enhance neural
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candidate should have a strong background in algorithm development, transcriptomics, sequencing data processing, and/or applied machine learning. The individual will develop novel algorithms to analyze large
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