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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
-driven world. The SDSS will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human-centric and
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Description For our location in Hamburg we are seeking: PhD Position Excellence Cluster BlueMat Water-Driven Materials Remuneration Group 13 | Limited: 3 years | Start: 01.05.2026 | ID: FSDO004/2026
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, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. At Jane Street, our researchers, engineers, and
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feasibility studies. You will also integrate operational feedback from the market-driven dispatch models into financial, regulatory and policy-oriented tools You will contribute to investment and business
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of computational methods that enable machines to perform tasks requiring perception, learning, reasoning, and decision-making. It encompasses core areas such as machine learning, data-driven modeling, intelligent
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emerging areas of science and technology. (For more details, please visit https://www.fst.um.edu.mo/ and https://fhs.um.edu.mo/en/#/ ). The Department of Biological Science strives to excel in both
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17 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Application
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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an academic paper, discussing requirements with hardware engineers, or presenting at a conference. Self-driven: While you will be fully supported by your supervisors and the research group, you take ownership
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sustainable mobility systems Transportation infrastructure resilience and asset management Transportation safety, simulation, and human factors Data-driven and AI-enabled modeling for multimodal systems