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involved in the innovation and application of methodologies and technologies in the following fields: model-based engineering; modelling and simulation; visualisation by means of augmented reality, virtual
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curation implementation plan to prepare Europe for receiving, curating and handling analogue, simulant and returned samples from space. You will serve as advisor on sample curation within the Agency
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data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
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, assembly and manufacturing in addition to the design and implementation of novel machine learning GNC and FDIR concepts, possibly implemented and breadboarded in the Section’s laboratory facilities (as a
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systems, design concepts, lean development approaches, for example Agile, and working methods. Through its daily work, the Team acts as a pathfinder for the low-cost, green launch systems of the future
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) Assessing the performance and fault tolerance of neuromorphic hardware; (b) Designing and developing one or more machine learning (ML) and artificial intelligence (AI) algorithms to support and enhance
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research Behavioural competencies Education You must have completed and obtained your PhD before starting the Research Fellowship. Applications submitted by candidates within five years of receiving
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also will be involved in the education of our chair group so you can strengthen your skills in teaching/coaching students, such as the course Product and Process Design. You will also be given
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complex problems using innovative methods. You enjoy working with a diverse and international team and actively contribute to the success of the project. Moreover you have: A PhD in life sciences
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show good performance in computa-tional experiments. The project's research outcomes are expected to contribute to the design of safeguarded AI systems that reflect diverse stakeholder prefer-ences