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for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our
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. Internal selection does not guarantee the fellowship. Only shortlisted candidates will be contacted. More information: https://eaesp.fgv.br/en/news/fgv-eaesp-opens-applications-fapesp-postdoctoral-fellowship
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accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up
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energy systems and demand response; process and energy system modeling; optimization and model predictive control; and applications of artificial intelligence and machine learning to energy systems
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
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computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence methods applied
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position at the interface of scientific Computing and Artificial Intelligence for applications pertaining to fluid mechanics of turbulent and environmental flows starting September 1, 2025, or as soon
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: Biostatistics & Health Data Science, Environmental Health Sciences, Epidemiology & Community Health, and Health Policy & Management. Ranked nationally by the U.S. News & World Report as the #6 public school
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, and post hoc support for laboratory studies and provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal