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develop processes for the purification of hydrogen obtained from diol-based carrier molecules and to evaluate possibilities for the use of electrochemical compression processes. In this PostDoc position you
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processes that produce energy and raw materials. The Department of Chemistry of the f-elements is looking for a PhD Student (f/m/d) Metal-organic frameworks of the actinides as matrices for fission product
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
-time employment. Starting date: 15.11.2025 Job description:PhD Student (f/m/d) Metal-organic frameworks of the actinides as matrices for fission product immobilisation With cutting-edge research in
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at the Medical Faculty You develop and optimize innovative LC-MS and GC-MS methods for the analysis of diverse biological matrices, including human samples You act as a scientific contact person for our users
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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and process carbon materials into polymeric and elastomeric matrices. Conduct mechanical, rheological, and electrical testing of composite materials. Correlate structure–property relationships using
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reduction for fast and transparent access to the underlying compressed data including data processing pipeline has to be enabled. About your role: Development and testing of an innovative and federated
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(Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic connections in
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information theory (Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic
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are global leaders in the research of mobile and optical communication networks and systems, as well as machine learning, computer vision, and digital video compression. For an ongoing research project, we