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criteria. Program Website: https://orise.orau.gov/fbi/ Applicants should have received their Bachelor, Master, or PhD degree within the last 5 years of the start date. Students may apply for the program
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computer skills (all Microsoft products). Willing and capable of learning new techniques relating to molecular pathology. Strong interpersonal and customer service skills with the ability to establish
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, networks and communication systems, theory of computation, computing paradigms, AI and machine learning, numerical computing, and applied computing. In particular, beyond surveying individual fields and
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limited to synthetic and chemical biology approaches to cellular computation and biomolecular logic design, the development and implementation of novel algorithms, machine learning for parsing biological
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or a strong aptitude for using advanced computational tools, AI, or machine learning techniques to address engineering challenges; and interest or initial experience in interdisciplinary collaboration
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journals or conferences; experience with or a strong aptitude for using advanced computational tools, AI, or machine learning techniques to address engineering challenges; and interest or initial experience
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. Qualifications: Required Education and/or Experience: Must have a PhD degree from an accredited institution of higher learning; or Must have a Master's degree from an accredited institution of higher learning and
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Learning as represented within HDSI's research scope, including but not limited to: 1) Computer Vision 2) AI for Science 3) Emerging Technologies for AI (such as Quantum Computing) All candidates
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 4 hours ago
Posting Details Posting Details Position Title Visiting Assistant Professor of Economics (Non-Tenure Track) External Link to Posting https://jobs.uncw.edu/postings/38861 College Cameron School
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tools (e.g., FSL, FreeSurfer, AFNI, ANTs, fMRIPrep, QSIPrep) into standardized processing streams. Support advanced modeling approaches including network analysis, multivariate methods, machine learning