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carries out technology research and development on flight vehicles, flight physics, aerodynamics, thermodynamics and fluidic engineering. The Section is also the focal point for the architecture design
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human-centered design solutions for safe, inclusive, and sustainable mobility. Job description Self-driving technology is advancing rapidly and making its way onto our roads, bringing with it a host of
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Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
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the modeling of complex structure-function relationships with unprecedented accuracy. Additionally, deep generative models allow for the generation of structures with desired function, thus enabling the design
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inclusive for adolescents but also contributing to methodological innovation in participatory and evaluation research. This protocol will be used in severel EC-funded projects, including SmartCHANGE
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, spacecraft system and mission design, and analysis, as well as a valuable data source for studies and other research domains. This research aims to develop a lightweight software system, written in Python and
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to the RESOCIAL project (“User vulnerabilities and Resilience on SOCIAL media platforms and the metaverse: a sociolegal and design perspective”, funded by the Dutch Research Agenda (NWA)) and to the follow-up
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metaverse: a sociolegal and design perspective”, an NWO-NWA Synergy Grant Project) seeks to identify, measure, and thereby mitigate human vulnerabilities on social media platforms (including the metaverse and
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question. You will be leading the development of the core computational mechanism for this novel GeoQA system. In this project, you will: design and test conceptual or cognitive models for geodata sources
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systems, design concepts, lean development approaches, for example Agile, and working methods. Through its daily work, the Team acts as a pathfinder for the low-cost, green launch systems of the future