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modelling heat and mass transfer fluid mechanics reactor physics A strong interest in scientific computing and simulation. The qualities to carry out independent research, demonstrated, e.g., by the grades
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microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable
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Application deadline: 30.09.26 Research theme: Applied Mathematics, Thermal-Fluid-Dynamics, Multi-Physics How to apply: https://uom.link/pgr-apply-2425 UK only This 4 year PhD project is fully
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and fatigue analysis. Experience in coding (e.g., Python) and in the use of structural analysis software (e.g., Abaqus, OpenSees) is desirable. Familiarity with virtual sensing techniques, state
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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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) Strong knowledge of classical and modern control theory Experience in designing control strategies for energy-efficient fluid power systems Experience with modelling and control of hydraulic displacement
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criteria It is an advantage if you have experience with one or more of the following topics: Experience in computational fluid mechanics. Experience in wind modelling. Numerical methods for differential
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for the position. Preferred selection criteria It is an advantage if you have experience with one or more of the following topics: Experience in computational fluid mechanics. Experience in wind modelling. Numerical
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). Applicants must have significant programming experience ideally in C, C++, R and/or Python. You must have good written and oral
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research