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                Description The International Max Planck Research School “Knowledge and Its Resources: Historical Reciprocities” (IMPRS-KIR) invites applications for 3 doctoral positions, to begin on September 1 
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                available in the further tabs (e.g. “Application requirements”). Programme Description The DBU scholarship programme for PhD students aims to support young academics in the field of applied environmental 
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                around the globe and are delighted to offer them the ideal environment for advancing their scientific careers. The IMPRS-BAC graduate program provides interdisciplinary training for doctoral candidates 
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                application rounds. For admission to our program in 2026, applications will be accepted via our online portal from 1 October to 1 December 2025 (first round) and 1 March to 1 April 2026 (second round). Phase I 
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                space that facilitates collaboration across diverse disciplines and methodologies, as well as the application of AI-based concepts. To address this, we plan to implement a sustainable research data 
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                Doctoral programme will review the applications and select six candidates for submitting an extended research proposal and for attending an online interview. Step-3: Candidate nomination (March 2026) A 
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                their supervisors at the beginning of the programme. Application Guidelines The application deadline for the winter term 2026/2027 is December 31, 2025. Applications may be submitted in German or English 
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                experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use 
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                (ZMO). As a part of Freie Universität Berlin’s Department ofHistory and Cultural Studies, our offices are situated on its campus in Berlin Dahlem. Programme The BGSMCS supports doctoral candidates who 
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                experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use