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of carrier generation and recombination with different laser pulse specifications Evaluation, documentation and publication of the data obtained in the form of reports, manuscripts and presentations in English
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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact
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University, Faculty of Chemistry - more information about the PhD program at the HZDR can be found here Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund
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language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Additional information on beginning, duration and
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materials. For more information, visit our web page . Currently, there are several options for doctoral theses. Candidates interested in one of the following five areas are particularly encouraged to apply
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using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, and complex nano-structured materials. For more information, visit
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Humboldt Universität zu Berlin / Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | 3 months ago
given to equally-qualified candidates with disabilities. Additional information For further information, please contact the scientific coordinator of the RTG2965: Dr. Víctor González-Alonso (email
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% of a monthly salary as special payment („Christmas bonus“). The monthly salaries in euros can be found on page 66 of the PDF download: https://go.fzj.de/bmi.tvoed Further information on doctoral degrees
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temporarily and continue with the data entry at a later date. Applications must be submitted by 15 October 2025, 00:00 CET. BerGSAS will invite shortlisted candidates to an online interview within two months