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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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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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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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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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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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Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 13 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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, genetics, bioinformatics, or a related field.Strong background in neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses in cell
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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