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of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
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State. Location ECSAT, Harwell, United Kingdom Our team and mission The Structures, Mechanisms and Materials Division is the centre of competence of the Agency in all areas related to spacecraft and
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autonomous systems that collaborate effectively while controlling what outside observers can infer? In this PhD project, you will develop security-aware planning and control methods for multi-agent cyber
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work will have access to specialized software and high performance computing resources. Three PhD candidates will each work on a core work package: PhD 1: Development of advanced ceramic microstructures
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evaluation. The nature of these challenges evolves as the policy process progresses. Addressing these challenges requires methods explicitly designed for framing, analyzing, and structuring ill-defined, multi
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at approaching these limits. Main areas of interest are free space optical communications, fiber communications, source coding, channel coding, (multi-user) information theory, security, and machine learning. You
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evaluation. The nature of these challenges evolves as the policy process progresses. Addressing these challenges requires methods explicitly designed for framing, analyzing, and structuring ill-defined, multi
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Public Management and Organisation. Ideally, we welcome candidates with a thematic research affinity to one of these sections, and whose teaching spans core subjects of public administration education
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constitutes one of the core themes in TILT’s research program. The regulation of data markets is high on the European and Dutch policy agendas. Data are the essential ‘raw material’ for numerous technological
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algorithms in front-ends, wireline and wireless interfaces, converters, FPGAs, microprocessors, microcontrollers and IP cores throughout all project phases; analysing and profiling the implementation