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Field
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maintenance of the FAIR Knowledge Base, ensuring all experimental and simulation data is searchable and reusable. Professional-grade Python skills with a focus on maintenance. You will be responsible
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apply approximation methods for interpolating electronic/phononic/thermodynamic properties of disordered crystal materials. Design and implement high-throughput density functional theory (DFT) workflows
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perform numerical simulations. Key Requirements for Postdoc: Requires a PhD in Physics or closely related disciplines. Experience with numerical software (VASP, Quantum Espresso) and programming (e.g
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modeling and simulation of atomic and molecular structures, along with extensive experience in analyzing the electronic and structural properties of materials. The position requires extensive knowledge in
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technologies, with capabilities in developing biomass conversion and carbon capture and utilization equipment, proficient in the application of simulation software such as Aspen Plus, CFD, DFT; priority given
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. Quantum Mechanical Calculations: - Performing first-principles based or Density Functional Theory (DFT) calculations for molecules/materials and interphases - Utilizing Molecular Dynamics (MD) simulations
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implement a software engine that automates fault model generation, evaluation, and management. Design and implement advanced test generation methodologies (e.g., test algorithms, Design-for-Test (DfT), Memory
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molecular dynamics (MD), density functional theory (DFT), and quantum mechanics/molecular mechanics (QM/MM) approaches. Planned research activities will also rely on the application and further development
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prevent a true function-by-design approach to development and manufacturing. We are interested in using analytical theory, large-scale molecular dynamics (MD) simulations, and density functional theory (DFT
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by metal nanoparticles, cell survival and radioresistance. The MS-RADAM research programme combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory