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practical applications of advanced machine learning techniques. Emphasis will be given to theoretical approaches in machine learning for real-world applications, with a preferred focus on optimization, data
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of reusable first stage for different types of architectures (toss-back, glide-back) Expected Results: Trajectory simulation and optimization (ascent and return) for different architectures and
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infrastructure for recruiting, enrollment, and student services from the ground up, establishing systems, processes, and partnerships that will shape the School's trajectory for years to come. Position Overview
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Institute of materials and machine mechanics Slovak academy of sciences | Slovakia | about 1 month ago
sensing; support in choosing tip geometry, stud magazine, and interfaces to the vacuum chamber). • Co-development of algorithms for optimal welding (trajectory and force planning, adaptive parameters
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offers transformative potential in this space, enabling automation of complex tasks, optimization of design flows, and adaptive systems. Techniques like reinforcement learning, neural architecture search
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structures, access to space, multidisciplinary design and concurrent engineering, uncertainty treatment and optimisation, machine learning. (https://www.strath.ac.uk/ ) Task description for your Individual
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of spaceflight experiments and the optimization of spaceflight missions and trajectories. (https://www.irs.uni-stuttgart.de/en/ , www.hefdig.com ) Task description for your Individual Research Project (IRP
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of spaceflight experiments and the optimization of spaceflight missions and trajectories. (https://www.irs.uni-stuttgart.de/en/ ) Task description for your Individual Research Project (IRP) Problem Definition
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hardware; optimization techniques for high-performance multicore processors; innovative hardware solutions targeting cybersecurity resilience; leveraging AI and cloud technologies in EDA; edge computing and
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range of metamaterial concepts. Building on these tools, the researcher will devise structural optimization strategies to tailor the metamaterial architecture for targeted dynamic performance. The most