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project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment This is a 2–year position from 1 October 2025 or as soon possible. Job description You will be
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characterization in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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publications stating the scientific publications on which the applicant wishes to rely Copy of PhD diploma - if PhD diploma has not yet been received, please include statement from your supervisor A motivation
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the process of cloning, handling of plasmids, and making lentivirus using cells is important. Experience with lipid nanoparticles (LNP) and mRNA will be a plus. Further information For further information
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the process of cloning, handling of plasmids, and making lentivirus using cells is important. Experience with lipid nanoparticles (LNP) and mRNA will be a plus. Further information For further information
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the physical chemistry of hydrogen bonds. Your overall focus will be the collection of experimental spectroscopic data and its analysis with quantum calculation techniques and molecular simulation methods. Your
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contact hcm-support@sdu.dk. Application procedure Applicants are advised to read the SDU information on how to apply . Assessment of the candidates is based on the application material, and an application
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based
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HPMC designs and manufacturing processes hinder renewable energy adoption and efficient electricity consumption. GreenMag plans to deliver next-generation HPMCs that are 50% smaller, 25% cheaper, and 40