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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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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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projects enabling secure, interoperable, and scalable AI-driven use of clinical data for complex diseases such as Alzheimer's and Parkinson's. You will work within a multidisciplinary environment alongside
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-associated alterations in complex neurological and cancer disorders. For further information about this role, please contact Enrico Glaab: Your profile The candidate will have a MSc or equivalent degree in
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students contributing to the project Provide assistance in organizational matters related to the project PCS-Graphs Since autonomous robots need to operate in complex and ever-changing environments for long
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requires a thorough understanding of the interplay between the intrinsic properties of nanoparticles such as size, shape, and defect structure and their interactions within complex assemblies. From a
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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