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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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: simulating carbon reduction potential at parcel level under climate change scenarios across Europe; design and implement geospatial hybrid and mechanistic modelling frameworks using process-informed machine
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 31 August 2025 Apply now Are you eager
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Systems Engineering & Innovation Department, Directorate of Operations at the European Space Operations Centre (ESOC). The Section is responsible for driving cyber security research and development applied
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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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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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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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, 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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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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) 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