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for resilient high-mix low-volume manufacturing. The aim of this PhD project is to enable fast setup of robot manipulators to complete advanced manufacturing tasks by the use of digital models. This should be
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whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at
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, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment
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vitro and in vivo models of immunology Experience with mRNA-based vaccines and adjuvant formulation Capable of handling a multifaceted project with many stakeholders and collaborators You are expected
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, modularisation and platform design. Experience with Digital Advanced Product Modelling using CAD design, simulations, and mathematics. A strong motivation for collaborative projects within academia and industry
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science applications Computational Atomic-scale Materials Design with a focus on materials modeling and discovery with electronic structure calculations and machine learning Luminescence Physics and
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spanning a wide range of fields including applied cyber-physical systems, advanced mechanical systems, modelling and mechatronic prototyping. Your profile To complement our team, we are looking for one
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Training: Conduct Silvaco TCAD simulations (fabrication processes, device modeling, and circuit-level simulations) . Experimental Work: Participate in cleanroom processes, device fabrication, and electrical
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deep roots in the Nordic socio-economic model. Our faculty has a broad focus on societal challenges, and we have earned a reputation for high-quality disciplinary and interdisciplinary research and