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Field
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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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: • PhD degree in Water Resources Engineering or related field • Familiarity with MATLAB, Python, ArcGIS, network theory, statistical analysis etc. • Good written and oral
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or ANSYS. Documented software skills in MATLAB and LabVIEW. Relevant master’s thesis or major projects aligned with the PhD project. * The applicant should document which of the qualifications above he/she
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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
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skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must demonstrate their proficiency. Strong analytical skills and capabilities in data processing and mathematical modelling is a
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deadline. It is a condition of employment that the master's degree has been awarded. Applicants must have strong programming skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must
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expected to hold: • A master degree in biomedical engineering • Excellent programming skills in Matlab and/or Python. • Experience in recording and analysis of electrophysiological signals is an advantage
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programming skills in MATLAB Excellent written and verbal communication skills Positive and collaborative working attitude Excellent problem-solving skills Knowledge of PDE and computational methods 2+ years
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analysis of large datasets using Python, Matlab, or other programming languages - Experience with embedded system, particularly IoT sensor development. - Experience with optical sensor development preferred