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of gravitational-wave sources. These signals are produced by black holes and neutron stars, the compact remnants of massive stars. Many questions on how these populations form remain. To solve this puzzle, we must
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. Since then, the number of detections has grown rapidly: from one, to a few, to hundreds, revealing entire populations of gravitational-wave sources. These signals are produced by black holes and neutron
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are part of a larger project on academic writing in the age of AI. Writing is integral to every academic curriculum, training students to process disciplinary content and to report on their own as
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spectroscopy and signal-processing techniques. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical
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Employment 1.0 FTE Required background Research University Degree Organizational unit Faculty of Law Application deadline 04 September 2025 Apply now Are you passionate about digital law and online
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are environmentally sustainable. To this end, different designs of AI systems should be assessed during the design phase. Data flow diagrams used at NOLAI capture the processing, storage and
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discipline, and an interest in learning how to handle optical equipment, operate laboratory instruments and analyse data. You have a good basis in optics, laser spectroscopy and signal-processing techniques
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advanced detection techniques, analyse data, and carry out numerical trajectory simulations of deceleration and scattering processes. You will have the opportunity to work with state-of-the-art and world
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ways to detect and hide them using natural language processing and audio analysis. We look at anonymisation, but also go beyond to study attributes of speakers, which recent work has identified as an
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revealing factors in multi-speaker and multi-modal data and find ways to detect and hide them using natural language processing and audio analysis. We look at anonymisation, but also go beyond to study