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Field
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of power system dynamics, stability and grid-forming control. Proficiency with relevant software, such as MATLAB/Simulink, is essential. Experience with hardware in the loop (HIL) setups and tests is
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. About you The successful candidate will have a strong background in experimental testing, programming (MATLAB/SIMULINK) and control, and should have a PhD in a relevant discipline such as mechanical
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Atlantic salt basins is an advantage. Experience in programming (Python, Matlab, Fortran) is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
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modelling physics of water flow map data will be considered an advantage when candidates are ranked. Experience with scientific programming using Python, MATLAB, C++, Julia, or similar is a requirement
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with salt tectonics is an advantage. Experience with the South Atlantic salt basins is an advantage. Experience in programming (Python, Matlab, Fortran) is an advantage. Applicants must be able to work
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. About you The successful candidate will have a strong background in experimental testing, programming (MATLAB/SIMULINK) and control, and should have a PhD in a relevant discipline such as mechanical
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experience in IC design/Electronics Familiar with Analog/Power Management/RF/ADC/DAC IC design Proficiency in Cadence Proficiency in Python and Matlab Experience in implementing algorithms for machine learning
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), MEng/MSc (Research Associate) in Electrical Engineering, Computer Science, Statistics, or other related fields. Solid Mathematical skills. Experience in one of the programming language – Python, Matlab
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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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(MATLAB, Python, and LabVIEW) are welcome. Priority will be given to applicants with a proven record of cross-disciplinary research. Good communication skills and demonstrable capabilities to work