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This doctoral position is part of WindConnect ("Wind farm control and integration in sector-coupled power systems"), a prestigious Horizon Europe Marie-Skłodowska-Curie Action (MSCA). The project addresses
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the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning modelling. This exciting project involves the application of innovative
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for a research engineer with the experience and knowledge to independently perform experimental work related to human cell reprogramming and to conduct both in vitro and in vivo studies in animal models
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voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Posting Summary The Modeling Equitable and Accessible
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will have the opportunity to learn and apply advanced data analysis techniques, including machine learning and econometric modeling. Through collaboration and technical expertise, this position supports
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 1 day ago
summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context learning techniques, and dynamic
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radiation. PMOD is traditionally widely involved in all communities focused on chemistry-climate modelling, monitoring of ozone and atmospheric radiation, and solar physics. (https://www.pmodwrc.ch/ ) Task
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, or engineering of AI models or methods and their applications in cognitive science. The AI Postdoctoral Research Fellow joining the NAM initiative will contribute to one or both current core projects, "Explanation
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, Kornberg remains a pillar in the dental community. We have more than 7,000 alumni currently redefining the field of oral health around the world. In 2023, the school proudly celebrated its 160th Anniversary
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness