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RNA sequencing generated from patient-derived surgical tissues and organoid models. Key responsibilities include data quality control, statistical modeling, cell-type identification, differential
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discovery planning, designing, and implementing full-stack custom software solutions that meet a variety of needs. This role is part of a hub-and-spoke model designed to facilitate AI project discovery and
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(CFD), surrogate modelling, and reduced-order modelling (ROM) for thermal energy systems. As a Research Engineer, you will be responsible for developing and executing steady-state CFD simulations
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% super Pioneering multicellular interface modelling within an open source framework and three translational case studies. Apply now to develop unified multicellular modelling tools and drive experimental
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with different climate objectives using a coupled climate model. The scenarios used involve actors who may or may not communicate/agree on actions and may or may not have common objectives, based
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checking results. The main responsibilities of the post are to: Undertake the quality assurance (QA) of modelling results produced by other Analysts so their findings can feed into research projects
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a technically inclined reporting professional capable of supporting complex reporting logic, data modeling, and advanced analytical use cases, including Workday Prism Analytics. Job Duties for
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models Strong quantitative, imaging, or computational analysis skills BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance
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techno‑economic, systems modeling and decision‑support tools to improve the resilience of small and mid-sized dairy farms in the United States. The position is part of a USDA-funded project led by Dr
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Research Scientists as part of its new initiative, Polymathic AI, Building Foundation Models for Science. Recent advances in machine learning, including Large Language Models and diffusion based generative