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use of historical plant distribution data to investigate effects of urbanization on plant species. Based on available plant occurrence records that go back for almost two centuries, what trends in
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Description Job description We are seeking a talented and creative researcher for a challenging and innovative project focused on developing the next generation of algorithms for high-speed super-resolution
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Fixed-term contract: 6 months. What we are offering We offer a 6-month postdoc position (at 1.0 FTE, with possibility to work part-time) in a stimulating research environment, with ample opportunities to expand your network and to collaborate with colleagues from different institutes and...
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Job description We are seeking a talented and creative researcher for a challenging and innovative project focused on developing the next generation of algorithms for high-speed super-resolution
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classical computing algorithms are NP-hard or, in general, difficult to implement. Within your application, please provide a research proposal (no more than five pages) answering the following questions: What
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increasing environmental awareness. However, most existing hearing aid algorithms optimize for only one of these objectives at a time, often at the expense of the others. To enhance hearing aid performance
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applications in the media change journalism, the public sphere, civic engagement and economic competition. We will develop and test new AI-applications to help solve problems such as disinformation, algorithmic
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AI-applications to help solve problems such as disinformation, algorithmic bias and filter bubbles. Together with our partners we will also (co)-create new ethical and legal frameworks for responsible
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advantage may arise. The focus of this project is to develop techniques that will enable gate-based quantum optimization algorithms to tackle realistic (large-scale, mixed-integer, and constrained) instances
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources