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disseminate research results and data in peer-reviewed publications as well as presentations at international conferences. Required Qualifications: Education/Training- PhD in Electrical and Computer Engineering
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students from the Nicholas School of the Environment and Pratt School of Engineering. Work Performed: The primary duties of this position include: • Conduct fieldwork and sampling of water resources in mine
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, Biostatistics/Statistics, Mathematics, Biomedical Engineering, or a related field by the start date. Skills: We welcome candidates grounded in one or more of the following: Generative AI/transformers, agentic AI
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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and engineers to conduct economic analyses of climate-resilient infrastructure that inform urban planning and public investment decisions. • Adaptation Finance: Examining how insurance markets and
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, or engineering. Preferred Qualifications: The ideal candidate will bring experience or a very strong foundational understanding in areas such as high‑dimensional data analysis and translational research, and must
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, United States of America [map ] Subject Area: Biomedical Engineering / genome engineering technologies Appl Deadline: (posted 2025/04/22 05:00 AM UnitedKingdomTime, listed until 2026/03/01 04:59 AM UnitedKingdomTime
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with collaborative software engineering practices (Git, testing, code reviews, CI/CD) ● Demonstrated contributions to open-source scientific software projects Desired Qualifications: ● Experience working
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning