90 phd-in-architecture-interior-design-built-environment Postdoctoral positions in Netherlands
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acceleration approaches across different sensing and fault scenarios, thereby informing hardware and architecture trade-offs for future missions. (b) Designing and developing ML and AI algorithms to enhance FDIR
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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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pleasant, diverse, and safe working environment. Job requirements We are looking for a candidate who meets the following criteria: A PhD degree in a relevant field. Expertise in design, human factors
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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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research technician. As part of the lab, you will interact with PhD students, postdocs, and staff members studying many different aspects of microbial life. Our international team provides a stimulating
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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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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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; Collaborate with and coach the PhD researchers from the SmartCHANGE and YoPA projects to implement the developed evaluation protocol; Recruit adolescents for a “co-design challenge team” from the schools
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Location ESTEC, Noordwijk, Netherlands Our team and mission The Guidance, Navigation and Control (GNC) Systems Architecture Section provides functional support to ESA projects in the technical field
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to cryogenic liquid propulsion systems to support the system architecture definition of a launch vehicle within the Model-based System Engineering (MBSE) collaborative environment. You are encouraged to visit