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structure with assembly and optical properties. Your role will be to tune the molecular structure of the ligands and change ligand shell structure. Using advanced scattering and microscopy, you will study the
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on soil behaviour(2)Analysis of pile-supported wharves founded on liquefiable soil(3)Modelling for seismic assessment of soil-structure systemsDesired Qualifications:•Strong background in Geotechnical
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Brno University of Technology, Central European Institute of Technology | Czech | about 13 hours ago
modelling, and FGF printing and skills in using ML in analysis and design of FGF printed auxetic structures. Suitable candidates should have a Ph.D. in Polymer Materials Science, experience with electron
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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modelling, a new fiber design will be developed scaling the spatial channel count while suppressing parasitic cross coupling. In the next steps, the fabrication of these new structures has to be implemented
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/or high-quality publications and/or substantial contributions to advanced research programmes Extensive experience with experimental model systems and DNA and protein-based assay methods including PCR
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Behaviour Demonstrable commitment to the values of equality and diversity A positive attitude and ability to act as a role model to students and colleagues Produce clear, well-structured and succinct written
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hydrodynamics for novel marine vehicles, including large ships and small AUVs and offshore renewable energy systems including offshore wind. You are expected to perform advanced computational fluid dynamics
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engineering, in an exciting combination of academic and industrial environments. Responsibilities and qualifications Within the scientific area, the researcher is expected to advance the Department's activities
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta