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Field
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point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation
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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
data using Python, R, etc. Preferred Qualifications, Competencies, and Experience Desired qualifications are a) atmospheric and aerosol chemistry, b) proficiency in HPC, and working in a cloud computing
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publications. Preferred qualifications • Expertise in remote sensing applications to aquatic biogeochemistry, ocean color, or optical water quality. • Proficiency with cloud computing and high-performance
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, and maintenance of bioinformatics pipelines for high-throughput genomic data analysis in high-performance computing (HPC) and cloud environments Harmonize and maintain diverse datasets and their
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intersection of climate, agriculture, and natural resources management Prior work assimilating satellite imagery data into models Experience with the Linux operating system, high-performance computing, cloud
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-augmented generation (RAG) approaches. Familiarity with LLM architectures (e.g., GPT, BERT, T5), Transformer-based modeling, and clinical NLP is highly desirable. Experience with cloud platforms such as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
cloud compute credits are available along with CPU/GPU nodes provided by the university. The expected outcomes of the position are: lead 1-2 major projects, contribute to other projects, collaborate with
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, Bioinformatics, Computer Science, Mathematics, Statistics, Data Mining, Parallel Programming, Supercomputing, or Cloud Computing. 3) Experience collaborating with diverse and geographically distant teams
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collaboratively in an interdisciplinary team. Good to have Experience in smart contract development, preferably in Solidity. Familiarity with cloud computing and shell script. Knowledge of biomedical blockchain