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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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bio materials and porous materials PhD student candidate 2 with background in computer science, AI, machine learning or related fields with the experience in CFD, ANSYS, COMSOL The successful candidates
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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
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, process engineering, chemical engineering, energy technology, or a related field Proven expertise in modeling and simulation; familiarity with CFD tools such as COMSOL, Ansys Fluent, or OpenFOAM Excellent
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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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numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc. • Strong interest in multidisciplinary, application-driven research with desire to innovate and pursue advanced research. •Highly
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in biomaterials and bioprinting Experience in computational fluidic dynamics (i.e., COMSOL, Ansys Fluent) Experience in cell culture Knowledge of microfluidics computer simulation finite element
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initiation in the following areas are helpful: Strong background on computational fluid dynamics (CFD) and design software using ANSYS and SolidWorks. Experience on high performance computing is desirable
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•Background with relevant packages, (CREO/SOLIDWORKS, ANSYS/ABAQUS, MATLAB) •A driven, professional and self-dependent work attitude is essential •Experience of working within the industry will be an advantage
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packages, (CREO/SOLIDWORKS, ANSYS/ABAQUS, MATLAB) •A driven, professional and self-dependent work attitude •Experience of working within industry will be an advantage •The ability to produce high-quality