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Field
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the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging advanced programming skills in a high-level computer language (Python or related
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: axion experiments at ultra-cold temperatures, operation of physics experiments in (dilution-)cryostats, superconducting and/or quantum-limited detection methods. Experience with radio-frequency
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WERA „Valuable Wastewater“ at the RPTU University Kaiserslautern-Landau is a good place for you. The Institute of Particle Process Engineering of RPTU involved in WERA is looking for a postdoctoral
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at andreas.mulch(at)senckenberg.de For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https
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for an interdisciplinary “bridge-builder” who strives for Scientific Excellence and Real-World Purpose. ● Background: HCI (Human-Computer Interaction), Computer Science, Ethnography, Sociology, or a related
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refer to the following link on the project website: https://dynamiken-des-religioesen.uni-frankfurt.de/ausfuehrliche-projektbeschreibung/ Your tasks: Contributing to the development of the digital
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of the General Data Protection Regulation (GDPR) http://go.tum.de/554159 regarding the collection and processing of personal data in the context of your application. By submitting your application, you confirm
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research. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
public holidays International Staff Service: Support with the relocation and integration process in Germany Health Promotion: Sports, company doctor, mental health initiatives Interested in applying
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11 37077 Göttingen Germany https://www.mpinat.mpg.de/grubmueller Social Media: CompBioPhys Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during