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Community College (GTCC), we are dedicated to transforming lives through education and creating a lasting impact on our community. We invite passionate and innovative educators to join our mission-driven team
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prototype and initial publications.; ● Design and develop an ontology-driven orchestration model linking VC behaviours to digital twin entities, ensuring alignment with cloud-native ingestion and storage
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/ and about the Soft Materials Group at https://www.aalto.fi/en/department-of-chemistry-and-materials-science/soft-materials-modelling More about Aalto University: Aalto.fi youtube.com/user
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prohibitive computational cost. Conversely, simpler models such as the Log- Distance Model provide greater computational efficiency at the expense of accuracy [6]. - Data-driven approaches, which leverage
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Enrollment, the Assistant Director of Graduate Admissions develops and implements data-driven recruitment strategies that attracts and enrolls high-caliber students into the Costello College of Business
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to the Bachelor's Degree in Philosophy, Politics, Law and Economics (PPLE), fully taught in English. The Faculty operates as a College model that integrates more than 8 undergraduate degree programs through a shared
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3 Dec 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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Description Department of Animal Science Research Associate - Food System Modeler The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second
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the Division of Chemical Biology , we combine and develop protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods to address cutting-edge questions in biology
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. Automated data-driven selection procedures will enable to gain objectivity and capacity to handle large amount of data from a wide range of epidemics. The first challenge consist in refining previous models