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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 19 hours ago
Posting Details Posting Details Position Title Assistant Professor of Watershed Science and Management External Link to Posting https://jobs.uncw.edu/postings/40495 College College of Science and
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 19 hours ago
Posting Details Posting Details Position Title Assistant Professor of Avian Wildlife Conservation and Management External Link to Posting https://jobs.uncw.edu/postings/40494 College College
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-based learning pedagogy and assessment models; scholarship of teaching and learning in engineering technology education; workforce development research in collaboration with employer and community college
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regeneration Machine-learning foundations for multimodal integration of data across genomics, metagenomics, proteomics, metabolomics, imaging, clinical records, and other data modes Developing biologically
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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. Duties & Responsibilities Advanced AI/ML Development & Technical Consulting Develop, validate, and deploy advanced statistical, machine learning, and deep learning predictive models to generate actionable
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modelling, machine learning, or microfluidics. They will also have excellent communication, organisational and problem-solving skills, and a strong interest in interdisciplinary quantitative biology
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causal analytical foundations of mass transit system performance. The research is expected to contribute both novel methodological advances in statistical modelling, causal inference, and machine learning
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Problem Solving, High Performance Computing (HPC), Java (Programming Language), Linux, Machine Learning (ML), Omics, Perl Programming, Probabilistic Modeling, Python (Programming Language), R Programming
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-based reasoning strategies for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision, verifier-guided training, and reinforcement learning-based post