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Field
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acquisition tools, signal processing methods and advanced data analytics. The successful candidate will also develop computational models of light transport in biological tissues, including Monte Carlo-based
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 17 hours ago
promoting innovative, science-based quantitative decision-making throughout the drug development life cycle. We provide statistical leadership, expertise, and advice to foster the expeditious development
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-aware reference monitor on top of seL4, supporting dynamic control of the capabilities and information flows of AI agents. Develop and mechanise security models, program logics and information-flow
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 10 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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-aware reference monitor on top of seL4, supporting dynamic control of the capabilities and information flows of AI agents. Develop and mechanise security models, program logics and information-flow
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Life Sciences fields. Experience in RNA-based methodology such as RNA isolation, quality control, gene expression analysis, RNA sequencing, or related approaches. The ability to work both independently
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the IDS with in-network access control and policy enforcement. The role also involves collaboration with AI researchers integrating the in-network IDS with endpoint AI detection and agentic response models
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model, we were first to show that maternal obesity alone causes offspring cardiac structural defects and disrupts WNT/PCP genes and proteins in the developing heart. The successful candidate will combine
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written communication skills in English. Desirable qualifications Experience with spheroids, organoids or tissue-engineered models. Experience with web-based software application to analyze, integrate, and
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, completion-based, and operational flow control strategies to optimize geothermal energy production performance. Research will combine reservoir simulation, field data analysis, and coupled modeling