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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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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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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
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experiments, design and implement advanced detection techniques, analyse data, and carry out numerical trajectory simulations of deceleration and scattering processes. You will have the opportunity to work with
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process shortly. If a suitable candidate is found before the closing date, the vacancy will be closed, and further applications will no longer be possible. You will preferably start your employment as soon
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to receiving your application. Applications will be reviewed, and interviews scheduled during the recruitment period. Therefore, you will receive feedback and information about a possible follow-up process
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 application procedure . It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates. Apply now Application deadline 12 October
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your employment as soon as possible. We can imagine you're curious about our application procedure . It describes what you can expect during the application procedure and how we handle your personal data