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for optimizing existing Mg-RE alloys and will lay the groundwork for the development of digital twins and new RE-free Mg alloy systems. Your profile #a master?s degree in Materials Science, Mechanical Engineering
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to develop and optimize experimental pipelines.Gain experience in both wet-lab and computational techniques to tackle some of the most important questions in microbiome science.Independently drive research
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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transmission. The successful candidate will work on elucidating the regulation of these channels and developing and optimizing gene therapeutic approaches in mouse disease models to prepare for putative future
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We are looking for a PhD candidate to join the TACsy (Training Alliance for Computational Systems Chemistry) Marie-Sklodowska-Curie Joint Doctoral Network. This network consists of fifteen (15
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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collaborative investigation including teams with expertise in cell biology, molecular biology, biomedical engineering, clinical medicine and computational biology. The team aim to create a novel, targeted
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researcher with a passion for developing new computational tools and contributing to cutting-edge research at the intersection of Physics and Earth system science. Background and relevance of the project
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-track researcher position in: Enhancement of the PRO performance, particularly via membrane modification, optimization of operational condition and membrane cleaning strategies. This project will utilize