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the framework of the ERC SYG project TOMATTO (The ultimate Time scale in Organic Molecular opto-electronics, the ATTOsecond), funded by the European Union (GA 951224). Activities to perform: Extend and use
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students also are expected to take up teaching assistant tasks. The experimental work involves the study of clusters in molecular beams using mass spectrometry, infrared and visible light spectroscopy using
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employees, we are a dynamic and international research community that has spawned many fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community
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an integrative structural biology approach combining cryo-electron microscopy, NMR spectroscopy, and advanced molecular modeling, the research will unravel the molecular architecture and conformational dynamics
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Center Department: Medicine | School Biomedical Sciences Molecular Medicine and Therapeutics The Yang Lab (https://medicine.osu.edu/find-faculty/non-clinical/molecular-medicine-and-therapeutics/liping-yang
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BIMAG consists of three teams. The intracellular dynamics team aims to develop reduction methods for multi-scale systems and apply them to understand molecular dynamics underlying enzyme kinetics
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, protein and lipid chromatography (FPLC, HPTLC), various spectrophotometers (UV-visible, CD, fluorimeters), and computers for molecular dynamics simulation. The IPMC institute includes various state
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University of California San Francisco | San Francisco, California | United States | about 1 hour ago
techniques to investigate ion channel properties and gating mechanisms in sensory neurons. Calcium Imaging: Use calcium imaging techniques (e.g., Fura-2, Fluo-4, GCaMP) to study intracellular calcium dynamics
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approach combining cryo-electron microscopy, NMR spectroscopy, and advanced molecular modeling, the research will unravel the molecular architecture and conformational dynamics of pili and their interactions
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
complexes. The successful candidate will develop novel graph neural network (GNN) architectures to learn dynamic information from molecular dynamics (MD) simulations of protein-protein and protein-nucleic