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particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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, biomedical data science, digital health, epidemiology, and environmental health. The position focuses on the development, validation, and interpretation of AI models for health risk prediction using
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measurements; Modeling of indoor pollutant emissions, transport, transformation, and exposure, ranging from mechanistic or mass-balance approaches to more advanced computational models; and Related topics in
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infection in vulnerable infants? Join an NWO Vidi project that combines advanced gut-on-a-chip technology, organoid models and microbiome approaches. You will work in an interdisciplinary setting to establish
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digital media, you will lead core research on reading and writing development using longitudinal school testing, experimental paradigms, and statistical modeling. You Will Have: A PhD (or near completion
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University of California San Diego - Ganesan Lab | Mision de San Diego de Alcala, Baja California | Mexico | about 2 months ago
. Research focus To investigate molecular and cellular mechanisms of anti-tumor immunity and test novel immunotherapy targets using cutting-edge genomic and immunological tools and mouse models. Requirements
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circuits. The researcher will independently design and conduct experiments using preclinical models of SCI; develop, optimize, and troubleshoot experimental techniques and protocols related to spinal
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 14 days ago
, and the evolution of space weather, yet their magnetic structure is largely inferred through modeling rather than direct measurement. Recent advances in ultraviolet spectropolarimetry have demonstrated
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, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts