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uncertainty factors originating from IoE devices and system dynamics, combining data-driven learning with knowledge-based modelling techniques. The developed methods will be evaluated in representative energy
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/10.1007/s11142-024-09822-y . He, L.- Y., Wang, L. (2025). Can artificial intelligence curb greenwashing? Firm-level evidence based on large language model. Energy Economics, 152, 108954. https://doi.org
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to: Develop mechanistic and data-driven models to analyse concentration–response relationships and biological readouts from advanced in vitro assays Apply statistical and computational methods to quantify
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for business processes, operational systems, technology governance, cross-functional labor relations support, sustainability initiatives, and campus partnerships. The position advances the strategic priorities
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advance DUMAC’s quantitative processes, develop and refine analytical models, and guide investment research that informs long‑term strategic decisions. Your work will directly support the financial
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campus in the field of molecular modeling and data-driven drug discovery. As part of the project, you will have the opportunity to undertake an exchange period with the Kronenberger lab in Tübingen
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science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day
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16 Mar 2026 Job Information Organisation/Company Fundació per a la Universitat Oberta de Catalunya Research Field Engineering » Communication engineering Researcher Profile First Stage Researcher
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Apply now Job no:538572 Work type:Full Time Location:Sydney, NSW Categories:Information Technology Employment Type: 24-month fixed term, full time role Technology Manager AI within our AI and
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be leaders in promoting justice and the public good in the new age of technology and globalization. The Associate Dean for Strategic Initiatives, Admissions and Financial Aid works closely with