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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in
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to detail. Proactive and self-motivated mindset with an eagerness to learn and grow Excellent computer skills with demonstrated proficiency in Microsoft Office Suite. Please include a cover letter detailing
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to apply Website https://www.academictransfer.com/en/jobs/358891/postdoc-on-law-disability-sexua… Requirements Additional Information Website for additional job details https://www.academictransfer.com
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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
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assimilation, machine learning, and optimization techniques. Experience in student mentoring. Publications in leading journals within the field. Preferred Qualifications PhD in Environmental Modeling. More than
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questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
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40 staff members and 50 postdocs and PhD students. This position will also be affiliated with the AI4Science Lab , which originated out of the Amsterdam Machine Learning Lab (AMLab) at the Informatics
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: Bioengineering, Chemical Engineering, Civil & Environmental Engineering, Electrical & Computer Engineering, and Mechanical & Industrial Engineering. The Bioengineering (https://bioe.northeastern.edu/ ) Department
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a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems