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skills; experience with C, C++, Python or other programming languages relevant to geodata analysis. Good communication skills and proficiency in written and spoken English. A good team spirit. Some limited
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(documented by publications and grant applications); Demonstrated knowledge of the relevant regulatory frameworks, including, but not limited to the eIDAS (2.0), the DSA, and the DMA. Demonstrated experience in
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channel models and architectures for hybrid FSO-RF-Fiber links, incl. theoretical, simulation and experimental analysis, supported by relevant simulation software/tools for hybrid links. Joint modulation
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aerospace and space systems while remaining computationally tractable. A key objective is to transform theoretical advances into practical tools that can support analysis, design and decision-making in a
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-world environments inevitably face noisy data, distribution shifts, and situations their training never anticipated. Existing machine learning research focuses on limiting the impact of such disturbances
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receiving a diagnosis, while the current gold-standard CFT test is invasive, costly, painful, and limited available. In this PhD project, you will help develop the first blood-based test for ANOCA, combining
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-engineering activities, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and mission analysis), via the ACT website (https
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research addresses the following objectives: Behavioural analysis: Identify and analyse behavioural drivers influencing stakeholder decisions in pest risk management. Economic evaluation: Assess economic
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to increasing traffic loads and environmental effects, efficient methods for monitoring their condition become essential. Traditional inspection approaches can be costly, time-consuming, and limited in spatial
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XR Job description Navigating complex public transportation environments is an enormous challenge for many individuals with visual, hearing, motor, or cognitive disabilities, limiting