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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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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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of data that can be utilised in empirical research: In collaboration with five partners within the consortium, we have designed and fielded the TransEuroWorks Public Opinion Survey. As part of this survey
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closely with experienced faculty members to develop and deliver courses at the BSc and MSc levels. RSM has a dedicated Learning Innovation Team (LIT), which supports faculty members in the improvement and
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of the University of Groningen, offering a unique opportunity to work at the interface of academic research and industrial innovation. This project offers an excellent opportunity to contribute to a sustainable and
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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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or several applications related to requirement engineering, system and subsystems design, modelling, implementation, analyses, verification, testing, validation and qualification. Typical areas where the use
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-intensive and innovation-oriented industrial partners. As core expertise, the consortium specializes in developing new chemical building blocks that, when applied on industrial scale and with industry-leading
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to provide targeted interventions for improved patient outcomes. Aligned with RIS3 aims, it strengthens the Northern innovation ecosystem. The specific role of the postdoctoral researcher working in
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living cells. Identify regulatory RNA switches involved in cell fate determination using both cancer cell lines and embryonic stem cell models of cell differentiation. Design and screen therapeutics