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Field
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computer science, such as Data Structures, Algorithms, Computer Architecture, Operating Systems, Databases, Computer networks, Cloud Computing, Machine Learning, Data Science, full stack Web Development. Prior
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and user feedback Leverages state-of-the-art big data and AI approaches and develops computational algorithms and workflows for the identification of novel targets and appropriate prioritization Mines
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research. We offer an undergraduate major and a graduate program in finance, and we just launched a Ph.D. program. We seek talented individuals to support these programs. A wide range of courses are taught
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an active interest in contributing to our undergraduate game development program. Finally, we are looking for candidates focused on algorithmic theory with an emphasis on improving and expanding
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-functional teams to advance research in algorithms, computing methods, and engineered systems, while continually expanding technical expertise Deliver ORNL’s mission by aligning behaviors, priorities, and
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, correlation analysis) ⢠Integrate and benchmark generative-modeling approaches ⢠Design and implement XAI algorithms ⢠Collaborate with clinicians to validate interpretability outputs Software Development
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of computer algorithms/code related to simulations, data analysis, visualization and dissemination in support of space physics research. Job Duties 65% Implementing, testing, editing and running simulation
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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benchmark generative-modeling approaches • Design and implement XAI algorithms • Collaborate with clinicians to validate interpretability outputs Software Development & Prototyping • Contribute to a web-based
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applications * Building data processing pipelines for standardizing and integrating heterogenous health data * Implementing advanced machine learning algorithms and generating testing results * Customizing user