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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Position Title Post-Doc Research Associate Vacancy ID PDS004369 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Posting Information Posting Details Department Geography - 315800 Posting Open Date 06/24/2024 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Post-Doc Research Associate Vacancy ID PDS004393 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range 74,000
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topics include, but are not limited to (i) developing statistical and machine learning methods for study designs and decision-making in early detection of pancreatic cancer (ii) establishing strategies
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doc Scholar Department: Medicine
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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behavioral, modeling, and neuroimaging techniques. Join our team and be involved with writing up data from all of these great and innovative multimodal studies. The Post-Doc will provide technical, analytic
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studies. Proficiency in relevant computational tools and statistical methods. Experience with machine learning in large datasets. Interest and motivation to work in a multidisciplinary team. Ability to work
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, which will then be analysed using network analysis and machine learning. Empirically, the project aims to understand what China, the US and Europe are doing to compete in semiconductors, cloud computing