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Field
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matter’ of biology, under-studied owing to the historical lack of preparative and analytical tools to probe the local molecular composition and transient interactions of molecules within glycocalyces, and
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in situ characterization of catalytic interfaces, including synchrotron- and neutron-based techniques systematic investigation of the role of water, ions, and electrolyte composition on activity and
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in terms of functionslity, bioactivity and toxicity; production of an edible coating containning the produced peptides, and its characterization on a selected food model, in terms of shelf life
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multicomponent materials based on reducible oxides and metallic or bimetallic nanostructures and thin films. The applicant’s research will focus mainly on so-called model studies of such well-defined materials
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alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and
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and composition today and in the past along the German Baltic Sea coast, starting with the West Rügen Boddens Analysis of existing monitoring and ecosystem model data on water quality parameters
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sub-area of Biotechnology Applied to Health, the opening of this call comes under the Projet "Intervertebral disc-on-a-chip: establishing a revolutionary in vitro model for studying low back pain
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for part-time employment. Starting date: 14.01.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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of new mechanisms to increase the robustness of these solutions under the Byzantine model. 4. Implementation of fully functional prototypes, preferably using the Babel Framework. 5. Comparative
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of ingestible devices powered by novel energy‑generating materials such as triboelectric generators. The EMGUT project is now midway, and we are ready to demonstrate our technologies in animal models. In