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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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research team. The successful candidate will work on optimizing methods for nanofibers extraction from various types of biomass, focusing on the development of efficient, sustainable, and scalable processes
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/03863 Leader prof. dr hab. inż. Janusz Zbigniew Lewiński The fixation of atmospheric nitrogen is one of the most important and challenging processes in chemistry, crucial for life and industry. While
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partners and optimize them for nonlinear quantum processes Collaborate with theory colleagues to refine fiber designs based on experimental feedback Disseminate results at international conferences and in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. Position Summary
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member's task is strongly intertwined with the tasks of the other team members. You will develop and optimize pioneering in situ 3D ED and 5D ED experiments in a liquid environment. You will minimize
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Steel Netherland’s “Green steel” transition plan aims to replace the existing blast furnace and coke oven with more sustainable DRI-EAF route by 2030. Integrating DRI into EAF steelmaking process presents
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contribute to the activities including TES unit development, laboratory testing and techno-economic analysis to identify optimal integration opportunities. Cooperation with industrial and academic national and
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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning
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to microclimatic variations induced by local vegetation. The researcher will contribute to the analysis of vegetation–climate–technology interactions to optimize energy yield in environments subject to climatic