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to conferences, collaborations or observing trips. Candidates with interest and experience in the study of accreting black holes or neutron stars, and candidates with experience in multi-wavelength data analysis
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
). Probabilistic and reliability-based analysis applied to underground structures. Advanced subsurface characterization techniques integrating geotechnical and geophysical data. Geohazard mapping and modeling
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analysis and mitigation, including cleaning protocols and pretreatment strategies. Familiarity with conductive membranes, carbon-based materials, or mixed-matrix systems. Experience with electrochemical
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combination of techniques such as rodent behavioral analysis, biochemical, molecular and cell biology, in vivo and in vitro fluorescence imaging, and next-generation sequencing. Position duties would include
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hold a Ph.D. in Mathematics and Applied Mathematics (or be close to completing one). Ph.D. holders with a strong publication record and a background in analysis and PDE are encouraged to apply
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to develop novel enabling technology on hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation
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construction materials. Proficiency in characterizing construction materials, conducting electrical resistivity measurements, and performing advanced data analysis and signal processing (e.g., using Matlab
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of safety and robustness, especially in dynamic and uncertain environments. This will involve both theoretical analysis and empirical validation on real-world robotic platforms. Qualifications: Applicants
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, Thermogravimetric Analysis (TGA), X-ray Diffraction (XRD), and Scanning Electron Microscopy (SEM). The role will involve analyzing reaction pathways, improving material formulations, and testing composite performance
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Strong background in communication theory, signal processing, and wireless communications, Extensive experience in physical (PHY) layer algorithm design and performance analysis, Proven track record