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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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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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cardiomyocyte metabolism, thereby contributing to HF progression. Combining cellular and small animal models (KO and transgenic mice, primary cells and cell lines), molecular biology techniques (RNAseq, qPCR) and
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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
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Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 19 days ago
Description Polymer-Based PhotoActuators (PPAs) are polymer matrix materials doped with molecular photoswitches. Upon irradiation, PPA films undergo a reversible macroscopic mechanical deformation, making them
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characterize cellular models relevant to Alzheimer's Disease Perform protein production and purification Perform molecular biology techniques Perform next generation sequencing technologies and data analysis
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22 Apr 2026 Job Information Organisation/Company Lodz University of Technology Department Department of Molecular Physics, Faculty of Chemistry, Lodz University of Technology Research Field
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TLDR: Build AI methods for 3D particle detection and structural analysis in cryo-electron tomography data, applied to chromatin organization and synaptic molecular targets. Please include a cover
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, tomographic reconstruction, or related inverse problems in imaging. Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data generation for training ML models. Experience