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Creating and validating digital twin architectures that incorporate physical laws and constraints Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and
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-waveguide couplings that surpass the time-bandwidth limit of static cavities [Xue2022]. With these components as building blocks, we envision large-scale recirculating circuit architectures [Heuck2023b
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the possibility of yearly renewal subject to funding availability. Responsibilities • Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals
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-tumour heterogeneity, clonal evolution, biomarkers of response and resistance to therapies and developing methodologies to study lymphoma cell populations (Okosun et al, 2014; 2016, Nature Genetics; Araf
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Classification Title: Post-Doctoral Associate in Exoplanet Demographics Classification Minimum Requirements Must have PhD in Astronomy, Astrophysics, Physics, or other relevant space sciences
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
moons, as well as in resource-limited mission architectures, including aerial platforms like helicopters on Mars. As planetary exploration increasingly targets challenging terrains and subsurface
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, PhD supervision, attending project meetings, presenting research results at conferences and workshops, and managing milestones and deliverables linked to MATISSE. Qualifications requirements
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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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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers