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or advanced micro/nanofabrication methods. Solid understanding and background in condensed matter physics, quantum mechanics, or nanoscale materials science. Hands-on laboratory experience with characterization
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Job Description DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of process
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to mechanical forces. We work with leading international groups on modeling and also conduct simulations at DTU. Our overarching goal is to understand and predict the mechanical behavior of metals during plastic
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qualifications: A Master’s degree in Mechanical Engineering, Energy Engineering, Chemical Engineering, or a related field. Solid experimental experience with electrochemical systems, gas handling, or chemical
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degree in mechanical, chemical, or energy engineering or similar and experience in some of the following areas: Experience in Multiphysics and CFD modeling involving fluid dynamics, and electrochemical
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potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have
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infrastructure, semantic technologies, and applied research Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows A two-year MSc degree
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PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
(SDU) is looking for a highly motivated PhD student to join a project on elucidating the mechanisms by which endogenous activators and inhibitors regulate lipoprotein lipase using hydrogen deuterium
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Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a PhD position in Neuromorphic Brain-Computer Interface Design. Are you a multidisciplinary
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more information for a given experimental budget. Efficient active learning depends on the careful co-design of experiments and inference algorithms. You will explore topics such as how to elicit