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applications, demonstrated through contributions to open source projects and production software for scientific data analysis. B: A computer scientist or software engineer specialised in algorithmic optimisation
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of Ultrafast Magnetism and Nanomagnetic Materials. Project background Magnetic materials are important for several real-world applications including motors, actuators, sensors and computation. For example, heat
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integration, including trajectory analysis, GNC performance trades, and integration of sensors, actuators, and thermal protection subsystems, as well as verification and validation of flight hardware and
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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab invites applications for a PhD position in Computational Interaction, focusing on sensor-based input detection for Augmented and
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integration, including trajectory analysis, GNC performance trades, and integration of sensors, actuators, and thermal protection subsystems, as well as verification and validation of flight hardware and
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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people over Technical understanding and affinity for operating complex systems, ideally in the fields of robotics, sensor technology, or maritime technologies Flexibility and ability for spontaneous
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postdoctoral researcher, your responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling
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, multi-objective optimisation (e.g., genetic algorithms), gait analysis/biomechanics. Proven track record in deploying machine learning models into production (preferred) Proficiency in programming in
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bodies in both basic and applied research. Working independently or with other scientific staff to deploy simulation or algorithm pipelines on advanced computational infrastructure, such as High