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Field
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provides flexibility for the successful candidate to shape the research direction within the broader topic Research Objectives and Contributions RO1: Develop methods for modelling dependencies and cascading
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recommendation. Criterion B – Research plan: This criterion will assess the contribution and suitability of the objectives in the research plan to the advancement of knowledge and its relevance within CMUP's
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on the campus of Pohang University of Science and Technology (POSTECH) in Pohang, South Korea. Detailed research objectives and directions can be found on the webpage (https://www.ibs.re.kr/cgp/ ). Successful
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for organic synthesis. Position Overview: ▪ Research Focus: the primary objective of this project is to integrate the versatility of C–H functionalization—a powerful method for modifying organic molecules—with
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NTNU and SINTEF. AID brings together academic institutions, research organizations, and more than 50 professional organizations. Its primary objective is to advance AI for decision-making through
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to conduct research on the interaction between large language models, automated science, and innovation. In this context, large language models can serve both as a tool within the research and as the object
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on massive datasets that exceed the capabilities of single-node systems. A key objective is the development of efficient iterative algorithms for training networks based on random features, which can be
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
before taking up the position. Research plan; 5-7 pages, where you show your capability to structure a 3-years research study with clear motivation, objectives, research questions, methodologies, expected
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tissue engineering. The objective is to engineer GelMA-based hydrogel matrices, optionally combined with fibrin or rendered porous through phase separation, in order to precisely control their mechanical
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SINTEF, Equinor, and Total. The main objectives of the project include the development and the integration of signal processing and machine learning methodologies aiming to improve flow assurance via field