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4 Mar 2026 Job Information Organisation/Company University of Stuttgart Department Institut für Institute of Applied Optics (ITO) Research Field Physics » Optics Engineering » Systems engineering
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application, please refer to myScience and reference JobID 211739. Where to apply Website https://www.myscience.de/jobs/id211739-research_assistant_on_a_part-time_basis_… Requirements Additional Information
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basis through January 30, 2026 . For additional information on the projects and the position, please contact Maria Vrachioli, Ph.D. (maria.vrachioli@tum.de ) or Dr. Fabian Frick (fabian.frick@tum.de ). As
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, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning
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and mycorrhizal colonization to complement the data determine interspecific patterns in root exudation utilize data from the Biodiversity Exploratories to study how the environment filters for plant
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through the DAAD Portal in the period between 4 November and 4 December. Application documents Documents to be uploaded to the DAAD portal: Information Sheet Online application form Full curriculum vitae in
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systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer science institutes at TU Clausthal, hosting several research groups. For more information
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of TUM. Kontakt: andre.stiel@tum.de More Information https://www.helmholtz-munich.de/en/ibmi/rg-ibmi-celleng
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Max Planck Institute for the Study of Societies, Köln | Koln, Nordrhein Westfalen | Germany | about 5 hours ago
’ postdoc experience. Excellent English is essential. Further information on the Political Economy Research Area led by Lucio Baccaro can be found on our website . The post is for an initial three-year
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven