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inference and deployment costs (e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects
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, you will tackle the fundamental challenge of controlling selectivity in multi-step biomass conversions through smart multi-catalyst, multi-reactor design. You will contribute to the Sustainable Process
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yield. Current perennial cereals show a decline in yield after three or four years and hence may be more suited as a rotational ley. These challenges may be overcome through optimal sowing dates, crop
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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on evaluation of the air quality and there exists intelligent automation strategies allowing for optimization of air quality with simultaneous reduction of energy consumption and carbon footprint of buildings
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in their tissue context Development, optimization, and application of bioinformatic pipelines for data integration, analysis, and visualization of complex datasets Computational modeling of gene
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diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training
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of these findings into future dietary intake estimates. This work will involve the use and optimization of advanced analytical tandem mass spectrometry methods, assessment of vitamin D bioaccessibility using an in
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. She is intrigued by the lives and relationships of teenagers, and how parents can optimally contribute to their child's positive development, mental health and well-being, despite their decreasing
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presents significant challenges. These include enormous data bandwidths, sophisticated optical control, advanced rendering pipelines, and new algorithms that can tightly integrate physical hardware, sensors