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-scale modelling, machine learning) High resolution analysis, monitoring of chemistry, structure and transformations at the atomic scale of buried interfaces and defects by correlated experimental
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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of membrane electrode assembly for fuel cell Your profile Completed university studies (Master/Diploma) in the field of Mechanical Engineering, Process Engineering, Chemistry, Physics or related field Very good
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
January 1, 2026 Research Field Neurosciences » Neurobiology Education Level Master Degree or equivalent Skills/Qualifications Applicants should have a strong background in cell biology and/or neuroscience
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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years. In total there will be about 25 doctoral researchers who will conduct soft matter research combining fields as diverse as physical chemistry, spectroscopy, synthetic organic and polymeric synthesis
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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, and 3D hydrogels. Entry requirements: Master’s degree in Biology or Material Chemistry. Funding: 4 years (3+1), TV-L 13 (up to 100%). Start: Flexible in 2026. Deadline: 15 October 2025. Contact: Project