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specifically naval architecture, generative AI is lagging behind. This is largely due to data scarcity in the maritime domain. Unlike media domains where vast datasets are readily available, ship design data is
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specifically naval architecture, generative AI is lagging behind. This is largely due to data scarcity in the maritime domain. Unlike media domains where vast datasets are readily available, ship design data is
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explore promising synergies in landscape services provision and analyse how to optimally align this with the demand for these services across the urban-rural region. In doing so, you will contribute
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need to understand what plasma conditions are optimal for producing light from plasma, but also we need to understand how such plasma should be generated, and what laser technology should be used. You
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flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will
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and optimize device architectures using finite element simulations. Fabricate prototypes using 3D printing, and cleanroom technologies. Implement test setups and assess devices performance through
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several phases, including analyzing the blind spots of language models, identifying challenges specific to the police context, and optimizing existing AI solutions for secure use within law enforcement. Job
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develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first explore promising synergies in landscape services provision and analyse how to optimally align
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control systems. It will address practical limitations that prevent reaching theoretical performance, with particular emphasis on optimal feedback design, actuator optimization, and novel control strategies
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
of flocculants Sludge dewatering is a major challenge in wastewater treatment. Optimizing this process can lead to significant reductions in expenses, chemical use, and greenhouse gas emissions—all key goals