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. Ideally, the candidate will develop and/or make use of innovative reductionist (i.e. 3D tumoroid models) or in vivo models (i.e. mouse genetics, in vivo lineage tracing, PDXs,…) and establish clinical
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, the candidate will develop innovative reductionist (i.e. 3D tumoroid models) approaches and unique in vivo models (i.e. mouse genetics, in vivo lineage tracing, PDXs,…) to gain novel mechanistic insights and
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responses; (iii) systematic evaluation of the trustworthiness of developed models through dedicated benchmarks and evaluation protocols Where to apply Website https://www.unimore.it/it Requirements Additional
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remain resilient in a world of increasing climate uncertainty? This PhD project offers the opportunity to work at the intersection of climate change, food systems, and advanced optimization modelling. You
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, national laboratories, semiconductor manufacturers, equipment vendors, and other industry partners. Research directions may include machine learning (ML), deep learning (DL), large language models (LLMs
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, small-molecule and biologic discovery and/or delivery, development of organoid and animal models, and engineering of advanced targeted technologies for therapeutic use including but not limited to (epi
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multilingual studies, and philosophy. For more details, please visit https://www.ntu.edu.sg/soh. We are looking for a full-time Research Assistant with a background in Natural Language Processing (NLP
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To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
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. Existing organ-age models have largely been developed using Western cohorts and specific proteomic platforms. Their reproducibility in Asian populations and their transferability between Olink and SomaScan