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of the art in mathematical and numerical modelling of CO2 storage? This might be the right position for you! About the project/work tasks: About the project TIME4CO2 TIME4CO2 aims at advancing simulation
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the further development and application of IQCELL 2.0, our lab’s next-generation GRN-cell simulation platform, to model spatial gene expression, cell-cell communication, and T-cell developmental
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simulation models to design and/or analyze observed lab experimental results. • Explore the exploitation of geothermal resources and investigate the potential for hydrogen generation. • Coordinate the work
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device fabrication and modelling or related areas. You will focus on a range of liquid crystal-based technologies and work on the optics, design, fabrication, optimisation, modelling and characterisation
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
post-doctoral rates. We are seeking a Kenan Galapagos Postdoctoral Fellow for the Center for Galapagos Studies. The postdoc will conduct research in one or more of our signature areas (Clean Oceans
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development and regeneration. Our research combines in vivo genetic models, in vitro organoid systems, advanced imaging, and high-dimensional sequencing approaches to uncover fundamental principles by which
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development and application of IQCELL 2.0, our lab’s next-generation GRN-cell simulation platform, to model spatial gene expression, cell-cell communication, and T-cell developmental repertoires within
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models, frameworks, and methods to confront complexity underlying persistent societal challenges affecting the well-being of people and the planet. This position represents a unique opportunity to
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variants in immune cells. The postdoc will develop flow cytometry-based molecular and functional assays using in vitro cell models (cell lines, primary cells, and iPSC-derived cells), perform genome-wide
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS