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Field
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of molecular deformation into local strain and ultimately macroscopic actuation. The SIMULACTOR project aims to develop an integrated multiscale approach to model the mechanical behavior of PPAs. Its objective
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of the catalytic mechanism of oxygen reduction by cytochromes bd, with the E. Coli cytochrom bd-I protein as a first example. This work will require the use of a large panel of molecular modeling tools, from
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for relevant separations such as CO₂/N₂ or CO₂/H₂. The thermodynamic study may be complemented by adsorption microcalorimetry measurements. Molecular modeling will be used to interpret experimental results
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
learning, or transformers is a major advantage. Practical knowledge of Python, clean coding practices, and reproducible ML workflows. Familiarity with protein structure, biophysics, or molecular modeling (MD
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differential equation models of bacterial persistence. A particular challenge, both for simulation and for machine learning, lies in the high dimensionality of these equations, which causes grid-based numerical
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and implant models Histology, advanced microscopy, and micro-computed tomography Spatial transcriptomics as well as molecular and bioinformatic analyses The candidate will work in a highly
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27 Mar 2026 Job Information Organisation/Company University of Saarland Department Chemistry Department Research Field Chemistry » Molecular chemistry Chemistry » Inorganic chemistry Chemistry
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pathways, pain perception, and tissue alterations in chronic joint disease. Using joint tissues as a biologically and clinically relevant model, the project will explore how stress-related signals interact
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animal scienceBiological sciences » Biological engineeringChemistry » BiochemistryChemistry » Molecular chemistryComputer science » Modelling toolsComputer science » ProgrammingEngineering » Biomedical
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functional dark matter, offering an unprecedented view of the molecular tricks used by the microbial world. The ERC MicroMet team, led by Dr. Tristan Wagner (https://www.ibs.fr/en/research/assembly-dynamics