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, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work
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techno-economic analysis, life-cycle assessment, mathematical optimization, process-oriented modeling of industrial energy systems, and the analysis of regulatory frameworks. In particular, we focus on
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will contribute to the development and optimization of next-generation fabrication technologies with direct relevance to advanced X-ray imaging applications. The SNSF-funded project ABSOLUTE (n A
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prototyping & technologies such as stereolithography, two-photon printing or nano-imprint lithography is highly desirable Experience with scientific computing and optimization frameworks (e.g
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Okinawa Institute of Science and Technology | JP Nagar III Phase, Karnataka | India | about 5 hours ago
parameters. Current areas of interest include Potential Theory, Harmonic Analysis, Functional Analysis, Calculus of Variations and Optimal Control, Optimization, Mathematical Biosciences and Quantum
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ecosystem Experience in edge AI, model optimization, or deployment of AI models on-device Strong programming skills and experience building robust research or product-grade software Ability to work
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fully functional experimental platform Lead the alignment, commissioning, characterization, and performance optimization of the beamline and its optical components Develop and implement advanced high
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University of North Carolina at Charlotte | Indian Research, West Bengal | India | about 3 hours ago
performance and identify opportunities for optimization. • Research development and tech translation: Lead or support research in microalgae cultivation, thermal-fluid integration, sensing/controls, and/or
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performance and identify opportunities for optimization. • Research development and tech translation: Lead or support research in microalgae cultivation, thermal-fluid integration, sensing/controls, and/or
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oncology-specific reasoning behavior Comparison and development of RL training approaches Calibration, abstention, and safety-aware optimization Clinical Evaluation and Safety Evaluation of oncology