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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
understanding of the complex physics of the atmosphere with a PhD degree in physics, meteorology, engineering or related fields. Knowledge in one or more of the following: experimental fluid physics and dynamics
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Job Advertisement 2025-06 23.07.2025 At the Leibniz Institute of Atmospheric Physics (IAP), a full-time position (40h/week) in the Department “Modelling of Atmospheric Processes” is available as
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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample
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perform own high profile research in close cooperation with the JCNS institutes in Jülich and Garching in the field of soft matter or condensed matter physics. Your tasks in detail: Contribute
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activities. Your Profile: Master and PhD degree in astronomy, physics, computer science or equivalent fields of study. Proven experience in N-body simulations and the comparison of simulation and observation
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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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on Clostridium carboxidivorans and Clostridium ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction
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composition Present your results at international conferences and publish in peer-reviewed journals Your Profile: A Masters with subsequent PhD degree in chemistry, physics, environmental science, atmospheric
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: Masters and subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization of matter
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ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction of our work: Lauer et al. (2022): Metabolic