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Field
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Horizon Europe MSCA Doctoral Network, SUPER, as a PhD Fellow. The successful candidate will be registered as a fee free PhD student at Universidad Europea de Madrid and enrolled in the SUPER Doctoral
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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authorization. This gift funded role is expected to be one year in duration but may be renewed annually. Responsibilities Architect complex machine learning and scientific computing research projects, including
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: • Experience of applying CFD to a complex problem • Appreciation of meshing requirements for aerodynamic simulations • Experience with machine learning or data-driven modelling techniques Funding
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complex data collection carefully and communicate clearly with children, parents, artists, and partner organizations; Good-to-have: Experience with research involving young children; Good-to-have
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evaluating raw data. · Manage data storage, backup, and retrieval. Troubleshoot networked computers and network architecture/connections to facilitate data transfer, storage, and retrieval. · Work together
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simulation of technical systems Interest in practical work with catalysts, laboratory setups and pilot-scale plants Ability to analyse complex interrelationships and work methodically Good written and spoken
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education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. The Wireless Engineering and Complexity Science Lab (WhyCOM) and Not A Space Race Lab (NASR
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Background: Functional, topologically complex organic molecules are rising stars in modern materials science due to their biocompatibility, structural variability, and wealth of physico-chemical
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast