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science with emphasis on process development Knowledge of fabrication and operation of high pressure systems Computational competences with MATLAB and COMSOL Fluent in English, both written and spoken
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knowledge of operating multiphysics simulation software (COMSOL, ANSYS), as well as proven solid knowledge of electrical circuit simulation software based on the SPICE platform. The candidate should
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knowledge of operating multiphysics simulation software (COMSOL, ANSYS), as well as proven solid knowledge of electrical circuit simulation software based on the SPICE platform. The candidate should
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on process development • Knowledge of fabrication and operation of high pressure systems • Computational competences with MATLAB and COMSOL • Fluent in English, both written and spoken • Experience in working
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Austrian Academy of Sciences, The Marietta Blau Institute for Particle Physics (MBI) | Austria | 2 months ago
) Software skills for experiment control (LabView, Python), simulation (SIMION, Comsol/CST, Geant4) and data analysis (Python, C++). Desirable Skills: Knowledge of the following topics: Trapped charged
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and 3D finite element modelling (COMSOL, CST) of the optical control process for materials. -Integration of the optimal compositions into simple test structures to directly evaluate electrical switching
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microfluidics Having taken courses on continuum/fluid mechanics with good scores Experience in simulating fluid mechanics problems using, e.g., COMSOL Experience in interdisciplinary research Experience in
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(CW and pulsed, UV) Atomic spectroscopy Software skills for experiment control (Python, Labview), simulation (COMSOL, Python) and data analysis (Python, C++). Desirable Skills Knowledge of the following
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(10%) 5. Skilled in modelling, simulation and programming (e.g. MATLAB, Python, ANSYS, Comsol etc.) (10%) 6. Skilled in Hardware in the Loop equipment (e.g. Opal-RT, Typhoon HIL, etc.) (10%) 7
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converters (10%) 5. Skilled in modelling, simulation and programming (e.g. MATLAB, Python, ANSYS, Comsol, FEA tools etc.) (25%) 6. Sufficient training and experience for the optimal performance