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Field
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operating systems, C, C++, VBA, MATLAB, PYTHON. Successful candidates will also have a keen understanding of ultrasound concepts with hands-on experience and at least a master's degree with a focus on digital
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learning techniques relevant to energy forecasting. 3) Technical Proficiency Skilled in tools such as Python, R, MATLAB, SQL, and Excel; familiarity with energy modelling software is a plus. 4) Domain
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knowledge of Lithium-ion battery Good numerical simulation skills Good programming skills (Matlab, C++ or Python) Proficiency in English for research work We regret to inform that only shortlisted candidates
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experience including MATLAB, R and Fortran, along with experience with High Performing Computing (HPC) environments. • Peer-reviewed publication record • Strong written and verbal
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to theory (20%) A review of relevant literature and theory on ice sheet resonances will be performed. Relevant theory will be coded in MATLAB (preferred) or Python (acceptable). Comparisons between theory
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electrical engineering, or a similar related field. Required Experience • Experience with developing signal processing algorithms for embedded systems starting from prototyping languages including Matlab and
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and managing expenses on various research codes. You will be expected to present results periodically at group lab meetings. Knowledge of Solidworks or other CAD software, Matlab, Python or C++ would be
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(i.e., Matlab, BASH/UNIX-shell), and assisting with data collection after receiving appropriate training and certification. Duties will further involve interacting with undergraduate researchers
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and improve existing MATLAB/Psychtoolbox task and analysis codes Troubleshoot EMU hardware and data acquisition Collaborate with team members regarding requirements, schedules, and activities Performs
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systems or a related technical field, or a MSc/MRes degree with substantial working experience in relevant fields. Demonstrated ability to program in C/C++, Python and/or MATLAB to a high standard