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about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to make sure you have not
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at the interview. Submitting your application We prefer to receive applications online. We will update you about your application at various points throughout the selection process via automated emails from our e
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appropriate, together with universities of ESA Member States (through the Ariadna scheme www.esa.int/ariadna); explore synergies between high-order automated differentiation and the fundamentals of spaceflight
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programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
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include 1) developing automated, precise, robust, intensified, modular, and electrified (A-PRIME) water desalination technologies to support a circular water economy; 2) optimizing the coordinated operation
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at interview. Submitting your application We prefer to receive applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e
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of machine learning methods for assurance on hardware devices like PCBs and ICs as well as on the development of automated hardware reverse engineering approaches at the IC and PCB levels for design recovery
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using a combination of multimodal imaging, computer vision, and lab automation platforms that govern entire workflows (e.g. ThermoFisher momentum software scheduling Hamilton liquid handlers and high-end
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expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently
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related to the use of Unmanned Aerial Vehicle (commonly known as drone) technology and developing autonomy solutions for automating bridge inspection and semiconductor manufacturing through Human-Robot