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Field
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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Postdoctoral Research Fellow - Systems Neuroscience The Halassa lab (https://halassalab.vtc.vt.edu/ ) invites applications for a Postdoctoral Research Fellow position at the Fralin Biomedical
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phase 3 - full implementation of the provision (18 months). The programme integrates theoretical knowledge with applied practice through a blended model comprising workshops, school-based placements
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between ocean circulation and biogeochemical cycling in modulating marine ecosystem responses to global warming. The work will provide an opportunity to develop model simulations, contribute to both
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development of a user-friendly GUI tool that will enable stakeholders to interact with planning models and visualise simulation outputs. The RF will also support increasing coordination between different
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the Karoo Basin (South Africa) and other exhumed systems and subsurface systems from the North Sea/NCS, to develop models of deep-marine lobe successions as fluid flow pathways and storage containers for CO2
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monitoring applications. Under limited supervision, the Postdoctoral Fellow will collaborate with the PIs to design and conduct field- and modeling-based research. In this position the Fellow will: Develop
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approximately 10–15% of women of reproductive age. The project aims to integrate fragmented biomedical evidence into structured resources and predictive models that support non-animal approaches to chemical
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involves development of deep learning based synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation, as well as new measures of privacy and
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NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by