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, process optimization, and potash brine valorization. Main responsibilities: Conduct literature review on potash ore processing (carnallite) and brine management practices; Perform mineralogical and chemical
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to the multidisciplinary character of ACER CoE, the ideal candidate must have as well a multidisciplinary scientific profile: PhD degree in Materials Science, Chemical Processes or another suitable engineering discipline
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, to protect the LFP particles while optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring
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protection solutions. Key Responsibilities Conduct in vitro and in vivo screening of microalgae strains for their antagonistic activity against major legume pathogens. Develop and optimize laboratory assays
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful candidate is expected to: Build and evaluate chemical databases
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for their antagonistic activity against major legume pathogens. Develop and optimize laboratory assays for evaluating disease suppression, plant growth promotion, and bioactive metabolite production. Characterize the mode
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and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in
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for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor