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of the East African Mountain social ecological dynamics ERC Synergy project (AFRI-CAN; ERC-Portal ). We aim to fundamentally advance our understanding of social-ecological systems in East-African
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Bioanalytics for the Multidimensional OMICS Data Analysis research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus
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Biospectroscopy for the Bioimaging research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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Bioanalytics for the Proteomics research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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Bioanalytics for the Lipidomics research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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: University or university of applied sciences degree in natural sciences, engineering or comparable training with a technical background. PhD is desirable. Proven professional experience in project management
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ecology in joint work with UZH experts as well as in use of numerical methods via collaboration with RICAM experts the opportunity to gain experience in project organization and co-supervision of a PhD
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of German is advantageous but not required. What we offer: Work in a highly dynamic and international research environment, Access to cutting-edge technology and state-of-the-art facilities, A strong team
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Toxicology (https://www.dife.de/en/research/departments-and-labs/molecular-toxicology/ ). What we offer This PhD position is funded by the Marie Skłodowska-Curie Actions (MSCA) of the European Union's Europe
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, starting on 01.06.2026. PhD positions are funded for 3 years with a 75% share of the total E13 salary in accordance with the German public tariff scheme (TV-L Brandenburg). The project, Predicting Arctic