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Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization
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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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process to generate scenarios and guide the search. Many strategic stochastic optimization problems cover a long time horizon, with many low-level decision variables. This means that the problems become
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master's degree. The degree could be in aquatic science, biology, physics, math, engineering, or similar. You are expected to demonstrate proficiency in written and spoken English. Analytical skills and
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the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with
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. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
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documented experience in at least one and preferably more of the following areas: computational solid- and/or biomechanics; finite strain hype elasticity; finite element methods; numerical optimization methods
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The candidate will be part of SDU’s Center for Large Structure Production (LSP). LSP’s central ambition is to provide a physical “go-to” lab for companies in the sectors maritime, construction and
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, for static and dynamic measurements and reliability measurements). Key Responsibilities Research & Learning: Develop expertise in GaN device physics and wide-bandgap semiconductor technology. Simulation
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applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process