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of programming/software, MATLAB, Python, OpenFOAM, LabView, ANSYS, etc. Research quality and publications – Journal papers Genuine interest in research and willingness to learn and carry out high quality research
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. Preferred Qualifications Experience with wind energy systems, kite dynamics, or similar, in renewable energy. Knowledge of Julia, plus other computational modelling tools (e.g., ANSYS, Simulink) Knowledge
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/Grasshopper), manufacturing (CAM, e.g., Fusion 360) and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in additive manufacturing, structural design and related research (e.g., parametric
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background in thermal modeling, heat transfer, and fluid dynamics. Knowledge of numerical simulation tools (COMSOL, ANSYS, or similar). Hands-on experience with experimental thermal characterization. Ability
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Experience with FEM tools such as Abaqus, Ansys, or Karamba3D Programming skills in Python or C# Experience with parametric modeling (e.g. Rhino/Grasshopper) Good FEM theory Familiarity with AI methods
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software tools such as Matlab and Ansys Lumerical Expertise in programming with Python and familiarity with photonic measurement technology an advantage Independent, solution-orientated way of working and
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, or physics. • Background: knowledge in electronics, signal processing, bioelectromagnetics, numerical modelling. Experience with commercial or open-source numerical solvers (e.g., CST, Ansys, SIM4LIFE
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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Python), electronic circuits, and Machine Learning. The ideal candidate will have a working knowledge of key software tools such as CST Microwave Studio, Ansys HFSS, and MATLAB for system level simulations
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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