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have experience developing and running large numerical models and analysing complex datasets? Would you like to work with a world-leading team at Leeds to connect molecular-scale insight to cloud-scale
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molecular docking, molecular dynamics and free-energy methods (MD/FEP), machine learning for molecular design, and protein–ligand modelling. Experience bridging computational and experimental groups, and the
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number: DF03144. Field of expertise: Condensed Matter Physics. Department: Physics. Research profile: Experimentation and modeling (MD and DFT) applied to atomic and molecular electronics. Language
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details https://jobs.uni-graz.at/en/jobs/88ceb948-bca4-1472-7736-69d7ab5a1495 Work Location(s) Number of offers available1Company/InstituteDepartment of Molecular BiosciencesCountryAustriaCityGrazPostal
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200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://www.uu.se/en/department/cell-and-molecular-biology . This position is based in Johan Elf’s research group
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on three main Workpackages (WPs): • WP1: Characterizing the inflammatory response and airway remodeling in a novel 3D model of Apical-Out Airway Organoids (AOAO) derived from pediatric asthmatic patients
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of molecular systems have until now only been studied with highly abstracted models. A more detailed modeling approach, inspired on the engineering-type approaches used in molecular systems biology, is needed
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have until now only been studied with highly abstracted models. A more detailed modeling approach, inspired on the engineering-type approaches used in molecular systems biology, is needed to get
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. Through integrated approaches combining molecular biology, transcriptomics, and functional assays in cellular models, the factors involved in bile flow dysfunction and the progression of liver damage will
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involved in all stages of the project. Initially, part of the work will be dedicated to the molecular modelling of the different parts of the proposed molecules and of the structures as a whole. These