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process in the budgeting system, including system testing and guide creation. • Develop materials, reports, schedules, charts, and graphs for management meetings and retreats. • Review departmental
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compensation. Coordinates with managers and senior colleagues to determine employee compensation. Analyzes data and prepares charts, graphs, and trend lines for management review with a moderate level of
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and accounting practices for the assigned division. Requires the ability to prepare spreadsheets, graphs, and charts, and enter, import, and export data to and from databases. Requires the ability
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, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Collect, manage and clean datasets using an extraction and reporting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
with biomedical data, including clinical, EHR, omics, and imaging Knowledge graphs (KGs), and integrating LLMs with KGs Multimodal LLMs Special Physical/Mental Requirements Special Instructions
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, 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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USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The faculty of the Department of Mathematics
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detection, scene graph generation. A prospective method is transfer learning which freezes the backbone of the LiDAR-VLM model and fine tunes its output layers to adapt it to a particular task. An important
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, Python Numba. Knowledge of general-purpose scientific libraries like BLAS, NumPy, CuPy, various mathematical, statistical and graphing libraries, TensorFlow, PyTorch, Pandas, or similar widely used