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strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in
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, and implementing the arc model in a commercial software package (Ansys Fluent). The School of Engineering is an Athena Swan Silver award holder and is committed to encouraging, developing and supporting
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geometry and integrity. Objective 2: Develop and implement simulation models in ANSYS Fluent to investigate the two-phase printing and droplet freezing processes, providing insights into the coupled effects
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software such as Ansys, Abaqus, SolidWorks,etc. Fundamental knowledge in the fluid mechanics and solid mechanics Willing to travel and attend the meetings with industrial partners on site; Should have or
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, including the use of MATLAB. Experience with 3D electromagnetic simulation with Ansys HFSS or Keysight Momentum is a plus. The Phd is funded by Q-loop project of the Institut de Recheche Technologique
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algorithms and machine learning. Strong background in programming (e.g. MATLAB, Python) and tools (e.g. Ansys, HFSS or CST Studio Suite). Good Hands-on skills using equipment and hardware platforms including
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engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in additive manufacturing, structural design and related research (e.g., parametric design tools, finite element simulation tools, path
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the position, the required skillset includes: Strong background in electromagnetic and optical modeling using tools including Ansys, Comsol, Matlab, and other methods. Expertise in wet chemical synthesis
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knowledge of numerical techniques and advanced simulation methods (ANSYS Zemax OpticsStudio) is a plus. • You are expected to be able to carry out the research activities independently and in a critical
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COMSOL, Ansys Fluent, or OpenFOAM Excellent knowledge of thermodynamics, fluid mechanics, and heat & mass transfer Strong programming skills in Python, C++, or similar languages Familiarity with machine