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(required) German language skills are desirable Ability to work both independently and as part of a collaborative team High motivation for interdisciplinary research and experimental innovation Experience
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Description Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) in the Experimental Toxicology and ZEBET department of the German Federal
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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Training Group "AirMetro - Technological & Operational Integration of Highly Automated Air Transport in Urban Areas" (RTG 2947) , funded by the German Research Foundation (DFG). This interdisciplinary group
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(or equivalent) in Chemistry or a closely related field Strong oral and written communication skills in English (required) German language skills are desirable Interest in inorganic spectroscopy and metalloenzymes
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research (and, where applicable, rent and family allowances) as well as financial support for a pre-sessional German language course. Plus, material resources of 1,000 Euros per year, administered by
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-sessional German language course. Plus, material resources of 1,000 Euros per year, administered by the supervisor’s institute. Research stays outside of Germany during the funding period may be supported
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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
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Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description Description As part of
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and