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Job Description Do you want to be part of a section that aims to reduce the time required for and increase the value of physical testing of wind turbine structural components by using high
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to streamline the journey from research to real-world vaccines. Who are we? Being part of the Airway Immunology Group at NIVI-R, the Ph.D. student will be supervised by CO-PI Associate Professor Henrik Kløverpris
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project constitutes one of the four subprojects and is therefore part of a larger research collaboration while also functioning as an independent unit. You will be working on the research aims to examine
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optimization of SERS substrates, Raman measurement, data analysis, and validation of results with reference methods such as high performance liquid chromatography (HPLC). You are expected to have a solid
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well as development of instrumentation, in particular high-energy instrumentation, i.e. X- and gamma-ray detectors and optics. The division is currently active in operation of instruments on and data analysis from
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understanding different kinds of extreme meteorological events and how these may impact wind energy based power and energy systems. As well being involved in research projects you will take part in highly
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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. We are looking for you if you have a background and interest in programming languages and formal methods --- e.g., has taken courses in program analysis, verification, compiler construction and/or
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Fluid Dynamics) Thermal performance analysis Adsorption/desorption of porous materials Good English language skills are essential. The main criterion for selection will be the research potential
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Job Description SDU Innovation and Design Engineering (IDE) as part of the Department of Technology and Innovation (ITI), Faculty of Engineering (TEK) at the University of Southern Denmark (SDU