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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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architectures and patterns for space and ground-segment systems. 2) Digital system security engineering Utilising novel model-based frameworks to facilitate the application of emerging system security standards
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policy of the Agency. You are strongly encouraged to familiarise yourself with the technological activities performed by STS PNRR, in particular in the field of Model-based Digital Twin applied
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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects
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/GNC systems has traditionally relied on model-based techniques, which in turn, have their foundations in a solid body of mathematical proofs (such as guarantees of stability and robustness
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productivity and community biomass to size spectra under stress. Examples of the approach can be found in Ecological Modelling 205: 196-208 and Ecological Indicators 79: 114-121. You will be part of the WP3 team
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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of Economics also has offices in The Hague. Working for Leiden Law School means working in a welcoming and inspiring academic environment. Terms & conditions We offer a full-time position (38 hours per week
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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, the following is required: PhD in high-speed aerodynamics, turbulence, transition and combustion modelling, or another relevant aerospace engineering discipline. Additional requirements In addition to your CV and