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Medical Computer Vision Experience with Large Language Models and Generative AI Experience working with real-world EHR and imaging data Experience working with PACS and the DICOM standard Preferred
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Research Institute (FBRI) at Virginia Tech Carilion (VTC). About the Lab The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate
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. The Role The Research Fellow will contribute to the scientific and translational development of the programme, including: developing and optimising advanced experimental cancer models leading functional
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. Perform in vivo studies using relevant animal models. Analyze and interpret experimental data, including nanoparticle and delivery performance measurements. Besides, the senior RF is expected to supervise
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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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modelling approaches. The position focuses on holistic catchment-scale studies and the development of scalable methods for monitoring the state, changes, and interactions of terrestrial and aquatic ecosystems
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functional materials and membranes. Perform separation experiments and evaluate membrane performance. Carry out data analysis, AI-assisted analysis, modelling, and/or simulation studies. Draft reports and
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Berkeley Lab’s (LBNL ) Biological Systems and Engineering (BSE ) Division has an opening for a Computational Postdoctoral Fellow to join the Quantitative Modeling Group led byHéctor García Martín
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Physics » Other Engineering » Materials engineering Chemistry » Other Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 25 Sep 2026 - 23:59 (Europe/Lisbon
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-computational models to advance our understanding of cyber campaigns on social media, grounded in the dynamics of social and communication processes such as group formation, activation, decentralized decision