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rigorous technical documentation on the developed models, analytical and numerical results. Actively participate in brainstorming sessions to propose solutions to new and unconventional problems. Review
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database of activities to document workload and impact on patient outcomes. Executes on site of care optimization strategies as determined by system leadership. Gathers information and helps develop
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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single-photon and entangled-photon sources using III-V semiconductor quantum dots at telecom wavelengths. The research will involve developing photonic structures to optimize the photon emission rate and
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to generate insights on optimizing these interconnected systems to better support families. The results of the project provide insights into how postpartum care and childcare services influence maternal and
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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entitled Penn Connects (http://www.pennconnects.upenn.edu). This comprehensive, award winning effort is expanding the campus over the next 20 years, including the construction of new academic research and
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disponível em: http://uaonline.ua.pt/detail.asp?c=93195 NOTICE FOR THE AWARD OF RESEARCH GRANTS A tender is hereby opened for the award of 1 (one) Research Grant (RG) under COAST-SCAPES - rethinking COASTal
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(financial systems, HR systems, etc.) and works with grants, donors and other revenues to support programs and park development. Approachable and accessible for the numerous stakeholders including board, staff
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transformation. Possible areas of research include, but are not limited to: AI-based automation and optimization of business processes IT architectures for data-driven organizations Data analytics systems