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Field
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spectrometry, cross-linking mass spectrometry, top-down proteomics and computational modeling. Your work will advance mass spectrometry technology, providing new possibilities to study the structure and function
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advanced statistical tools to understand the dynamic bio-social processes of reproductive ageing, such as a)The impact of critical life events on the indicators of reproductive ageing, and vice versa; b
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programming or scripting (e.g., Python, Bash, or similar) for workflow automation and data analysis. Familiarity with common tools for structure-based molecular modeling or virtual Ability to think critically
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structural properties of nanostructures and nanoparticles. We combine expertise in nanofabrication, laser science, nonlinear optics, sensing, advanced imaging techniques and numerical modelling. About the role
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and
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on the technical development and professional understanding of ship performance models and offshore renewable energy. Research topics include: Structural integrity assessment, fatigue, and fracture Collision
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of ship performance models and offshore renewable energy. Research topics include: Structural integrity assessment, fatigue, and fracture Collision survivability and hull design Risk and reliability
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advanced mesoscale fluid simulations such as CFD, Lattice Boltzmann Method (LBM), Pore Network Modelling (PNM), and Molecular Dynamics (MD) with microfluidic experiments. The research targets gas bubble and
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Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models
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complete in silico framework to accelerate the discovery of novel Polyhydroxyalkanoate (PHA) structures, which includes the creation of a high-throughput computational pipeline designed to engineer advanced