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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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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 and internal and external candidates. Website
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2025. You will preferably start your employment on 1 January 2026. We can imagine you're curious about our application procedure . It describes what you can expect during the application procedure and
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curious about our application procedure . It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates. Website for additional
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about our application procedure . It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates. Website for additional job
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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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 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 20 October
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receive feedback and information about a possible follow-up process shortly. If a suitable candidate is found before the closing date, the vacancy will be closed, and further applications will no longer be
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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 31 October 2025 We would
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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