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. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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designing, testing and optimizing such BY-kinase inhibitors. Who we are looking for The following requirements are mandatory: A Doctoral degree or equivalent in disciplines related to computational biology
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postdoctoral fellowship at ENS Lyon in the field of machine learning. The position is part of the research project "Neural networks for homomorphic encryption", funded by Inria. Fully homomorphic encryption (FHE
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work tasks You will be part of ongoing research activities that address the market-driven operation and economic optimization of integrated electricity–cooling systems, with a particular focus on
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focuses on the development and optimization of polymer-based excipients for bacteriophage stabilization, addressing a critical challenge in the storage, transport, and application of phages in medicine
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for industrial application. You will develop materials and processes enabling this technique to be scaled up and implemented globally. The research includes optimization of the electrochemical processes
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treatment and hot isostatic cracking) to minimize/avoid cracking and optimize microstructure and properties. You will be working with hands-on manufacturing, microstructure characterization using advanced