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Field
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sensitivity, on resistance evolution. As model pathogen, we will focus on UTI E. coli and/or lung-infecting Pseudomonas aeruginosa. As a general reference, check out the group’s publications on AMR evolution
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datasets with different configurations (e.g., number of channels, sampling frequency and resolution). To leverage large-scale self-supervised learning to train models on unlabeled EEG data, reducing reliance
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systems, or continuous-time and discrete-time LTI systems theory is a plus. Experience with mathematical modeling, optimization, numerical computation, algorithm development, or machine learning. Prior
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on the basis of the following criteria: Technical competencies Strong ability to design and optimize integrated optic devices, model their optical, optoelectronic, thermal-optical properties using commercial and
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different strain rates. You will investigate deformation mechanisms, strain localisation and damage from quasi-static to dynamic loading. A central challenge is developing optical testing methods that remain
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
models will form part of a larger simulation enviroment that evaluates the airspace of the future. The research should consider: Model development: + Characterizing the key performance differences between
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
: Model development: + Characterizing the key performance differences between current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing
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. The first one will advance techniques for large-scale 3D particle tracking by merging measurement theory and practice with flow modelling for applications in industrial wind tunnels for the aerospace sector
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-ahead, intraday, and balancing markets to maximize socio-economic value while respecting system security and reliability constraints. Different approaches can be explored, such as integrating