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are still not exploited to their full potential. The CROPWAVES project aims to contribute to better future food security by improving global-scale crop and climate models through the integration of satellite
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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, ). Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids / xenografts will be employed in the study. Successful applicants will be a highly motivated individual with a recent
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How do mobility systems respond when everyday travel is disrupted? How can we model who loses access, where, for how long, and under what conditions recovery is possible? We are looking for a
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | 2 months ago
lineage-tracing mouse models, lung injury and tumor-initiation systems, single-nucleus multiome (RNA and ATAC) and spatial profiling, and validation in human early-stage lung adenocarcinoma specimens
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to the mathematics of plasmas, with a focus on kinetic theory and PDEs. - Specific topics include stability, long-time behaviour, and mathematical properties of magnetised plasma models (such as magnetized
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language models”. They will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so in several ways including independently
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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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provable guarantees AI-based cybersecurity: applying learning and AI-assisted techniques to network security, e.g., automata learning from security logs, validation of protocol models, and verified defensive