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techniques, such as Large Language Models (LLMs) to large-scale datasets. Optimizes existing algorithms for efficiency and accuracy. Preprocesses and cleans raw data from various sources (e.g., sensors
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approaches to generative modeling, including geometric graphical neural networks, diffusion networks, and integration with language models. Duties will include: (1) Design and implementation of the models; (2
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gaining) experience with X-CT and remote sensing. Geochemical or geophysical data analysis using R, Matlab, Python, or similar language. Excellent verbal and written communication skills. Collaborative
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
flooding. - Applicants must have significant computer language skill including R, and ArcGIS. Preferred Qualifications, Competencies, and Experience Excellent written, oral, and interpersonal communication
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approaches to generative modeling, including geometric graphical neural networks, diffusion networks, and integration with language models. Duties will include: (1) Design and implementation of the models; (2
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performance FPGAs is highly desirable Experience with FPGA programming languages (vhdl or verilog) is required Programming expertise in C, C++, Python, or another scientific programming language is highly
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. Subsurface/stratigraphic interpretation experience. Familiarity with Python programming language. Salary Range $65,000+ depending on qualifications. Working Conditions May work around standard office