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signal generation and/or advanced antenna technologies and concepts; experience in navigation payload system budget and performance analyses, including the use of required associated simulation tools
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candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable cancer care in
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Engineering and Innovation Department, Directorate of Operations. Reporting to the Head of Section, you will contribute to the development of antenna infrastructure and antenna mechanical and servo subsystems
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geometrical changes [Nat Commun. 16, 11388]. In this project you will push the boundaries of algorithm based reconstruction of nanoscale strongly scattering geometries from their radiation pattern. We seek
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are looking for a PhD candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable
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technological and (health) application perspective; planning and conducting benchtop spectroscopy experiments; data analysis, quantifying sensitivity and performance of the technology, and formulating algorithms
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a minimum of 5 years in navigation; experience in navigation payload design, particularly in the areas of on-board signal generation and/or advanced antenna technologies and concepts; experience in
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of platform data handling and payload data processing equipment; the implementation, inference, verification and validation of algorithms** on data processing hardware platforms for space applications** in
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environmental fate and behaviour models for soil, surface water, and groundwater systems; implement and improve model algorithms; analyse and interpret simulation results for risk assessments; collaborate with
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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