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of results in national/international conferences Requirements: Education: Ph.D. in Chemical Engineering, Electrochemical Engineering, and/or Chemistry. Knowledgeand Professional Experience: Batteries
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to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials. · Other research experience will be considered
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valued. · Knowledge of chemical reactions and how to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials
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on the engineering of liposome nanoparticle-based systems (LNs) for glioblastoma (GBM) therapy in collaboration with other investigators within the Nanomedicine Lab, and other collaborative labs. Investigations
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internal reports and manuscripts. Requirements: Minimum (required) PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge molecular dynamics
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. Knowledge: Science and technology of polymeric coatings Organic chemistry and functionalization routes Surface modification Coatings deposition techniques Scalability process Biotechnology assessment
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experience with SIESTA will be a plus but it is not essential. Other research and software engineering experience will be considered, and will affect whether successful candidates receive offers
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Chemistry Description of Group/Project: The NanoElectrocatalysis and Sustainable Chemistry Group combines electrochemistry, materials engineering and in situ characterisation at the atomic scale to elucidate
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/Project: The NanoElectrocatalysis and Sustainable Chemistry Group combines electrochemistry, materials engineering and in situ characterisation at the atomic scale to elucidate design principles
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for applications: 23/10/2025 Equal opportunities: ICN2 is an equal opportunity employer committed to diversity and inclusion of people with disabilities. ICN2 is following the procedure for contract of people with