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Microbiomes Institute — University of South Florida | Tampa, Florida | United States | about 3 hours ago
, with professional integrity. What We Offer Fellows will receive dedicated mentorship in a collaborative, well-supported environment. They will have opportunities to lead manuscripts and develop
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change would be highly desirable. The Research Fellow will develop ambitious, frontier research questions and lead high-quality peer-reviewed publications. They will contribute to regional field campaigns
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in 3D Printing and a wellspring of knowledge, delivering state of the art and innovative solutions to the industry. SC3DP is at the forefront of developing advanced technologies and high-impact
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prevention including the development and validation of risk prediction models; and clinical implementation research of targeted screening and behavioural interventions to increase cancer screening relevant
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the Commissioner's office and Agency partners. You will analyze complex datasets, develop and document analytical methods, and contribute findings to policy-relevant outputs. This will include relational databases
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stakeholders to translate research into practical tools and workflows. Responsibilities: Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for urban intelligence
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systems to monitor structural and soil responses under accelerated consolidation. Numerical & Analytical Modeling: Develop constitutive numerical models in ABAQUS or PLAXIS 3D using advanced elastoplastic
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or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable of extracting behavioural insight from increasingly
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The National University of Singapore invites applications for Research Fellow in the Division of Family Medicine, Yong Loo Lin School of Medicine. The Division envisions developing a reputation in
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Invention Agency (ARIA), working at the intersection of Isabelle/HOL, the seL4 verified microkernel, information-flow security, and AI-assisted theorem proving. The project aims to develop a formally-verified