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, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
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systems of differential equations. The resulting models will be analysed with analytical tools from applied mathematics and numerical studies in the Julia programming language. The successful candidate
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to Ganesh.Veluswamy@rmit.edu.au and kalpit.shah@rmit.edu.au Strong fundamental knowledge of chemical engineering principles, reaction kinetics, reactor designs and numerical modelling is important. Strong fundamental
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, company pension scheme (VBL) We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours Numerous company health management offerings Employee
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outside of Sweden, for example a 4-year bachelor's degree is accepted. Strong knowledge of hydrodynamics, CFD, turbulence modelling, and structural mechanics. Understanding of the numerical methods behind
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engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype development would be
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engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
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of analytical and numerical techniques to provide better understanding of and control over the fundamental properties of light-matter interactions and in this way realizing new nanophotonic devices
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Familiarity with hydropower technology Experience from numerical simulations Good written presentation skills and oral English language skills PLEASE NOTE: For detailed information about what the application
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promotion and for the compatibility of family and career; numerous opportunities for further training, including language courses, IT courses and other courses. TUD strives to employ more women in academia