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and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques. Preferred Qualifications: Prior working experience with EHR data, machine
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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: Ph.D. in Astronomy, Astrophysics, Physics, or Computer Science Preferred Qualifications: Experience radiative transfer calculations, machine learning, and high performance computing is desired. Special
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/or interest in applying Social Network Metrics to language and cognitive outcomes. -Have experience and/or interest to acquire expertise in machine learning applied to language modeling. Special
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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep