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-of-the-art in spiking neural networks and their real-world applicability in applications like drones and other autonomous vehicles, in close collaboration with labs at TU Delft, IMEC NL, and NLR. Some project
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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; developing visualisation prototypes to communicate uncertainty to end-users; contributing to a computational framework for data production in cooperation with Research Software Engineers; working closely with
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prioritisation and tailoring in accordance with your background and preferences and the Agency’s requirements: 1) Secure software engineering for space data systems Exploring advanced solutions for vulnerability
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artificial neural networks (e.g. CNN, RNN/LSTM/transformer, and/or reinforcement learning). You preferably have experience in annotation software such as ELAN and PRAAT. What we offer you We will give you a
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, seven European universities from the Coimbra network, and partner universities from across the globe to explore further how we can effectively decolonise university heritage. Through analyses
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. These technologies are highly novel and one-of-a-kind, and the project is expected to result in several highly impactful publications. You will coordinate your work within an (inter)national network of collaborators
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on the networked interactions between stakeholders in regional innovation ecosystems and assessing effects of interventions in such networks. We are interested in understanding the role of stakeholders in the set-up
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contribute to smart grids that make energy networks more efficient, mathematical models that assist medical doctors, schedules that make hospitals more efficient and numerical schemes to study multiscale fluid