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functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model the molten salt
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PhD student will thus obtain competences within ecological interactions, molecular techniques, and analytical methods of chemical ecology and experimental manipulations of plants, insect, and fungi. We
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based
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omics investigations to understand the molecular basis of aging and age-associated phenotypes. Lab generated data is routinely analyzed through AI-assisted pipelines such as novel cellular senescence
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, such as Ledprona(approved in the USA, December 2023) and other non-commercial products. Species-specific effects of dsRNA-based PPPs using molecular techniques, such as transcriptomics and proteomics
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with 15 researchers at various career levels with a high expertise within molecular methods development, bioinformatics and machine learning. Furthermore, the position will be anchored in the Center
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candidate will be part of the Albertsen lab with 15 researchers at various career levels with a high expertise within molecular methods development, bioinformatics and machine learning. Furthermore
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glucose disposal. We strive to understand the molecular basis for ADPr in skeletal muscle insulin resistance, and we are looking for candidates who are motivated to integrate data available from high
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susceptibility testing, and molecular methods like PCR and DNA extraction. Other important criteria are: • The grade point average achieved • Professional qualifications relevant to the PhD project • Previous