510 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" positions in Denmark
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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
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with intelligent, data-driven emergency planning, aiming to develop robust tools for communities and authorities to prevent and mitigate the impact of natural disasters such as wildfires. Working closely
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construction machinery to improve efficiency, adaptability, and safety under varying operating conditions. The work will involve designing and prototyping intelligent control algorithms, developing runtime
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Job Description We are pioneering true 3D culture of human liver models by high-resolution 3D printing to transform disease modeling and drug development. Join a project combining next-generation 3D
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, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured light-trapping
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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omics datasets, including genomics, transcriptomics, proteomics, and metabolomics. Process and visualize high-throughput data, including NGS outputs. Contribute to developing computational tools, methods
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available evidence on per- and polyfluoroalkyl substances (PFAS). This includes writing a protocol; developing search strings for multiple literature databases; screening of literature; and extraction
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them