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- documented scientific expertise in at least one of the following disciplines: quantum optics, solid-state theory, atomic/molecular physics, classical electrodynamics, - experience in analytical calculations
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; running live-cell imaging experiments that capture chromosome segregation errors as they happen; performing fluorescence in situ hybridization (FISH) and molecular assays to measure aneuploidy and copy
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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Research Assistant to design and execute independent and
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computational pharmacology project investigating allosteric communication in G protein-coupled receptors, using molecular dynamics simulations and network analysis. Teaching responsibilities include delivering
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and
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toxicity properties. The success of this position will require expertise in quantum chemistry, molecular mechanics methods, and molecular dynamic simulation, skills in molecular modeling and protein
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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the Rector of Universidade do Minho, under the terms defined in the attached template. 5.1. The application must include the following documents: a) Copy of certificate or diploma degree. b) Detailed
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preference. If you are claiming Veteran's preference, please upload a copy of your DD 214 Member Copy 4 with your application for consideration. See our https://jobs.ufl.edu/resources/veterans-preference