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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Machine Learning Assisted Terahertz Spectroscopy, within the doctoral programme
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At the Faculty of Engineering and Science, Department of Materials and Production one or more PhD stipends is available within the doctoral programme Materials Science, Mechanical and Manufacturing
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research to identify novel mechanisms involved in the dynamics of pain neuroplasticity, and our efforts to advance the understandings of this topic within the academic world and beyond. Specifically, you
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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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projects is required. Qualifications The ideal candidate has: A strong background in manufacturing engineering, management engineering, operations management, robotics, industrial engineering, computer
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pesticides based on double-stranded RNA(dsRNA). The project will focus on quantifying impacts on non-target organisms and uncovering mechanisms driving species-specific sensitivities. This PhD fellowship is