9 multiple-sequence-alignment PhD positions at NTNU Norwegian University of Science and Technology
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representations of time‑dependent data through sequences of iterated integrals and have recently gained significant attention in machine learning and data science. The project will investigate how
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AI more efficient, transparent and safe, addressing the critical challenges of resource consumption, behavior unpredictability and ethical alignment with human and societal values. The centre involves
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and resource-efficient engineering solutions. The project is a collaboration between the Structural Mechanics research group and SIMLab at NTNU and is aligned with NTNU’s strategic strategic research
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questions, theoretical perspectives, methodological design for the project and progress plan, aligned with the research objectives and expected results described above (maximum 1500 words/4 pages) Short
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). The lab’s mission is to design and evaluate Artificial Intelligent (AI) systems with and for people, aligning AI technologies with human needs and values, situated at the intersection of AI and Human-Computer
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a Centre for Research-based Innovation funded mainly by the Research Council of Norway and will be in operation from 2026 to 2033. The centre is managed by SINTEF Ocean and include multiple industry
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motivation (400 words/1 page) that clearly explains how you meet the selection criteria and your motivation for applying to the position. Relevant publications (if any). If there are multiple authors
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support decision-makers in analyzing real-time and historical data to better coordinate operators, equipment, and facilities, as well as manage operations across multiple projects and supply chain partners
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to characterize PECs through impedance measurements have led to the well-established Impedance-Based Stability Criterion (IBSC), however they face limitations when applied to large-scale systems with multiple PECs