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-scale numerical simulation framework to assess mechanical cloaking meta-structures within the ANR–FNR Metacloak project (Robust multi-scale design of meta-structures for mechanical cloaking from additive
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transplantation. PhD candidates are employed by university and work in an international research environment with personalized supervision and structured doctoral training, including courses, seminars, and journal
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properties, durability) Perform physicochemical and structural characterization of coatings Evaluate coating performance under relevant environmental or degradation conditions Analyse experimental results and
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well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics
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to identify, characterize, and understand structural instabilities in these materials, with measurements conducted as a function of hydrostatic pressure, uniaxial stress, and temperature. Density Functional
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
high degree of initiative and commitment Ability to work in a team and willingness to cooperate A goal-oriented and structured approach to work Willingness and ability to make decisions Good
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exploit relationships along the composition-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing processes as well as achieving desired properties
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for Sustainable Materials (SUSMAT), Düsseldorf, Germany Supervisor: Prof. Dr. Christina Scheu Focus: structural characterisation (XRD, SEM, TEM, APT) Background: physics, materials science, or a closely related
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materials, (2) Battery materials, (3) Quantum materials, (4) Semiconducting materials, (5) Magnetic materials, (6) Metal and structure materials, (7) Inorganic nanomaterials, (8) Macromolecules and
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function and structure in vivo and in vitro Apply state-of-the-art methods to analyze synaptic mechanisms and neuronal structure REQUIREMENTS: Above-average Master’s degree in a relevant field Strong