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others) and transform them into clean, trusted data models that support operational analytics, strategic reporting, automation, and emerging AI-driven insights. This role is critical to enabling data
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engineered inorganic/hybrid solids and polymers to combine the best of both worlds (easy manufacturing, high fluxes per unit volume and high selectivity through advanced tailoring) to reach high gas mixture
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The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar, Interdisciplinary Data Science, College of Engineering [R0144891]. *Revised* ROLE of the POSITION The Howard R
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Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata into actionable answer maps. Join our ERC-funded
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carried out by our project partners, and will be compared with in-vivo models. Embedding The PhD student will be embedded in the Microsystems research section at the Department of Mechanical Engineering
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business driven innovative professional with entrepreneurial and/or technological experience in at least one of the following areas: entrepreneurial principles, new ventures, business models, innovation
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strengthen your application: industrial collaboration/project sustainability research/sustainability development project publishing academic reports or papers engineering modelling and simulation What you will
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Research Associate - Livestock and Global Change The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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for data analysis. Experience in proper use of large language models (e.g. ChatGPT). Bachelor’s Degree in Engineering/ IT/ Data Sciences/ Business Administration or related fields. Certificates and Licenses