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& Research encourages internal advancement opportunities and mobility with an internal recruitment policy. There are plenty of options for personal initiative in a learning environment, and we provide
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dedicated Learning Innovation Team (LIT), which supports faculty members in the improvement and innovation of their courses and programmes. Applying Are you interested in this position? Please submit your
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, and you are expected to develop showcases for this new platform, and develop ideas to implement in a business. For this you will learn and exchange ideas within the Biotech Booster community
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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning
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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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or geoinformatics) and the willingness to acquire the others during the first months of the project will suffice to be taken into consideration. Our offer We offer: a position for up to 34 months - the length
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better world for people and planet. Together we create a safe and respectful working and study climate, and an inspiring environment for education and research. Learn more about our codes of conduct We
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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