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programmes Bridging functions between educational institutions, families, networks andneighbourhoods Participatory processes in formal educational contexts. Where to apply Website https://www.fh-potsdam.de/en
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the field of social work combines sociological and cultural studies approaches with migration research in order to develop practice-oriented concepts for transnational and hybrid living environments. It
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their long-term developments and to understand how they resonate into the present (https://www.uni-kiel.de/en/cluster-roots ). ROOTS combines expertise from a wide array of disciplines ranging from archaeology
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English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see: https
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 5 days ago
development # Use an inline endoscope and an optical fiber Doppler probe (OFDP) to determine bubble surface loading as well as bubble size and velocity # Integrate and interpret measurement data to derive
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 5 days ago
39 hrs./week Neuherberg near Munich At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation
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mentoring for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz-juelich.de/en
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chambers (e.g. SAPHIR) and advanced instrumentation Networking & exchange: Participation in (international) conferences, enabling you to build and expand your scientific network Personal development
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of holiday with us KNOWLEDGE & FURTHER TRAINING: Your further development is important to us – we provide targeted and individual support, e.g. through training and networking opportunities specifically
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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by