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structural health monitoring of structures immersed in heavy fluids, by continuing to develop the “Modal Strain Energy” and “Matched Field Processing” methods for detecting and locating a potential defect in
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on plausible solid-electrolyte interphase structures on the extreme surface. The applied computational methods will be periodic semi-empirical methods and density functional theory. The person recruited would
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on estimated movements using eDCCs. The research will focus on data simulated using the Monte Carlo method and real data from clinical SPECT scanners with a parallel collimator, such as those available at LUMEN
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The researcher will study the potential of atto-photochemistry on organic or inorganic photoinduced reactions. He or she will use quantum chemistry and molecular dynamics methods to do so. The overall objective is
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will develop and operate a reproducible computational workflow that combines molecular and periodic electronic-structure calculations, and when appropriate time‑dependent methods. The workflow will be
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in
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Eligibility criteria PhD in Mathematics. Candidates with expertise in one of the following research areas are encouraged to apply: - Complex foliations; - Birational geometry; - Qualitative theory of real
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FieldMathematicsYears of Research Experience1 - 4 Research FieldHistory » History of scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in computer science or applied mathematics
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from the membranes: copolymers, detergents, etc. - Cell culture (Sf9 insect cells, HEK mammalian cells) - Protein production, purification, and characterization - Biophysical methods for characterizing