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in physics-based modeling at multiple scales. We bridge the virtual to the real world by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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to produce restoration designs for multiple ecosystems’ at Utrecht University and the Royal Netherlands Institute for Sea Research, you will create ecosystem-specific, mass-produceable structures
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managing web content, with working knowledge of web accessibility standards (WCAG/Section 508), content management systems, and search engine optimization (SEO) best practices. Strong writing, editing, and
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. Foster a culture of continuous improvement through data-driven decision-making. Digital Optimization Direct enterprise SEO/SEM strategy to maximize visibility and performance across digital platforms
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)—for multiple vehicle types (light vehicles, vans, buses, coaches, and trucks). Users can customize data to reflect specific use cases, supporting more tailored and informed assessments. While VMF supports unit
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description To design, optimize, and implement experimental protocols in cell biology
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 3 hours ago
compensation tools. HRIS Leadership Lead the strategy, implementation, and optimization of HR technology platforms to deliver accurate data, reporting, and analytics. Partner with IT and HRIS teams on ERP
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using university-supported technologies. This requires a sound knowledge of front-end and back-end Web components, accessibility requirements, and related optimizations. The focus of work is to implement
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of seasonal pCO₂ cycles in the PISCES model by integrating observations from BGC-Argo floats. The approach will leverage data assimilation through a particle filter and ensemble-based parameter optimization