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infrastructure through geospatial analysis and statistical clustering techniques. The goal is to understand how different configurations of built density and urban green spaces influence biodiversity, adopting a
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to reduce the amount of required training data while maintaining high predictive accuracy. Methods and Techniques : Density Functional Theory, Machine Learning for atomistic modeling Location : Institut Jean
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, sowing density, nutrient solution composition and pH/EC, root-zone oxygenation, photoperiod and light intensity/spectrum, temperature, humidity/VPD, and harvest timing) will be compared in relation
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approaches based on density functional theory (DFT) have been introduced in recent years. A new research theme, "organometallic structures (MOFs)," has been introduced more recently, proposing the use
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 17 days ago
chalcogenides are remarkable for their tunable electronic and optical properties including semiconducting, metallic, superconducting (SC) and charge density wave (CDW) states. Common wisdom is that electronic
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resolved (polarized, low-temperature) absorption and photoluminescence spectroscopy, and a good knowledge in the use of density functional theory calculations of these materials. Job description We
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The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a postdoctoral or more senior researcher interested in computational materials design and
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-Nürnberg and the University Hospital Erlangen. Research at MPZPM is focused on the physics of cells and their microenvironment. https://mpzpm.mpg.de/ The Max-Planck-Gesellschaft zur Förderung der
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About the Opportunity Job Summary Conduct spatial analysis and statistical modeling to evaluate cannabis cultivation density patterns across tribal, private, and boundary lands. Develop refined
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temperature with ribbon density as the main product quality attribute. Additionally, the computational modelling approach will be exploited as an aiding tool to predict the product quality and eventually