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between the Section members, supporting teamwork, the exchange of experience and lessons learned, and the gathering of feedback; Contributing to the continuous improvement of working procedures, tools
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procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development
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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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Machine Learning Problems > Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal > Experience in setup of research
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, Linguistics and Media and Journalism Studies. For this role, we are looking for someone who: Has a PhD degree in any area related to the tasks (e.g. Computer Science, Digital Humanities, or Information
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the availability and reliability of critical and complex high-tech systems, like machines used in the semiconductor industry or industrial printing machines, intelligent diagnostics to identify faults is of crucial
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Statesman Thorbecke Fund Programme Behavioural Sciences, Social Sciences and Law Humanities More The Statesman Thorbecke Fund Programme is for research projects that have a strong connection with
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facilities that are fit-for-purpose for successful programme operations. They make sure the right (strategic) dialogues with programme owners take place, so services and facilities continuously evolve with our
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June). They are expected to teach two courses (a BA lecture course and an advanced BA or MA research seminar) on broad and attractive themes connected to their research. Teaching will be in English
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relations. In addition, you may contribute to scientific methods courses at the bachelor and master's level. Finally, if fitting, you may contribute to Research Master programme in Spatial Sciences and the