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27 Mar 2026 Job Information Organisation/Company National Institute for Materials Science Department Human Resources Development Office Research Field All Other Engineering Chemistry Technology Physics Computer science Information science Researcher Profile Recognised Researcher (R2) Established...
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) project entitled “Data-driven methods for reaction pathway exploration in multi-component non-equilibrium systems.” This project aims to understand and predict reaction pathway selection and functional
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materials, such as those with charge transport, optoelectronic, piezoelectric and dielectric properties, to further advance energy conservation and the effective utilization of elemental resources. To conduct
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on fundamental analysis of PDEs, regularity theory of elliptic and parabolic PDEs, with special emphasis on the regularity of finite boundary points and the point at ∞, its measure-theoretical, probabilistic and
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numerical models (e.g., Gibbs free energy minimization to model phase equilibria and reaction energetics) under relevant pressure–temperature conditions. A central component of the role is integrating
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for this public offering, priority will be given to female candidates if their qualifications are equivalent, though gender is not the primary factor in choosing an applicant. ・Please provide information on any
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, nuclear fission and fusion reactions within atomic nuclei, nonlinear responses and chemical reactions in diodes and transistors within solids, and element formation in space. The academic domain pursued by
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materials for quantum sensing applications, such as NV centers formed within diamonds. Specifically, spin characterization of color centers by electron spin resonance method, crystal processing to control
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the standard working hours are 8:30 a.m. to 5:15 p.m., the method of performing duties and the allocation of time (start and end times, as well as break times) are left to the discretion of the employee, and the
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and structure materials, (7) Inorganic nanomaterials, (8) Macromolecules and biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. * Research Environment