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Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning
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staff position within a Research Infrastructure? No Offer Description Job description: We are seeking a highly motivated and skilled postdoctoral researcher to join our dynamic team in the Sustainable
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in crop physiology, microbiology, plant molecular physiology, or related fields. Strong knowledge about plant-soil-microbes interactions including root growth dynamic, root functional traits
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) and carbon (C) dynamics, biomass allocation and mobilization, and the mechanisms underlying nutrient deficiency responses. This position is part of a research initiative aiming to improve nutrient use
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investigating plant physiological responses to nutrient limitations, with a focus on phosphorus (P) and carbon (C) dynamics, biomass allocation and mobilization, and the mechanisms underlying nutrient deficiency
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biology to explore the dynamic interactions between soil microorganisms, their environment, and nutrient cycling. This position offers a unique opportunity to investigate how soil microorganisms contribute
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behavior within the storage system to optimize design and performance. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational
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proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
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advanced characterization methods of inorganic materials and their assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation