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? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. CONTEXT OF THE JOB: The Department of Chemistry and Biochemistry is a
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Interaction, Human–Computer Interaction, Design Research, or a closely related field (either completed or a defence date has been set). A strong research track record, demonstrated through publications, design
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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technology and develop human resources. The AI Computing Team explores the design and realization method of advanced machine learning systems by working across multiple layers, including circuits, devices
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with health surveillance and related data to estimate climate-attributable risk under Deep Uncertainty. The candidate will also contribute to the development of interactive tools and training materials
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Interaction, Human–Computer Interaction, Design Research, or a closely related field (either completed or a defence date has been set). A strong research track record, demonstrated through publications, design
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deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners. Where to apply Website
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of de-anonymization, including researching current de-anonymization strategies Investigate synthetic data generation methods and their utility Deploying and benchmarking the above-mentioned methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
- $66,000 Proposed Start Date 01/05/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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for CO₂ storage, integrating site-specific data and geomechanical coupling. • Perform leakage risk assessments using NRAP tools in conjunction with reservoir simulation results. • Update capacity estimates