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- Analytical Food Chemistry at Technical University of Munich
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) German Research Center for Artificial Intelligence (DFKI) CISPA – Helmholtz Center for Information Security Center for Bioinformatics (CBI) Teaching language English Languages All courses are held in
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-reviewed journals and excellent leadership and communications skills. English is our working language. Postdoctoral training and experience in securing third-party funding is welcome but not required. We
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. Postdoctoral training and experience in securing third-party funding is welcome but not required. We particularly welcome applications from candidates with backgrounds that are underrepresented in science
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | 4 days ago
candidate will be employed full-time by TUM on the MSCA-DN MICROSUNSET for a period of 36 months For information about TUM’s enrolement requirements follow the link: https://www.ls.tum.de/en/ls/research
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Graduate College Global Intellectual History, both in collaboration with Humboldt-Universität zu Berlin). For further activities in the field of global history, see https://www.geschkult.fu-berlin.de/e/fmi
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- good communication skills for interacting with local Kenyan people and authorities - excellent skills to work independently Further Information about RTG 3096: (https://www.vetmed.fuberlin.de/en
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research school on secure distributed computing (SeDiC) is proposed. SeDiC aims to tackle the challenges of exchanging and computing data across a network of interconnected systems. It addresses scalability
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established as part of the Heisenberg Program of the German Research Foundation (DFG). The establishment of the professorship is dependent on the individual successfully applying to and securing funding for a
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to work in. Research groups: Computational Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science
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Department (IFN‑2) at the Institute of Fusion Energy and Nuclear Waste Management (IFN) focuses on safety-relevant aspects of nuclear waste disposal. Our research combines fundamental and applied approaches