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(e.g. Python, Fortran, Matlab, C++). Skills Demonstrable ability to work cooperatively as part of a team, including participating in research meetings. Ability to work independently on own initiative and
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microplastic particles based on spectral and morphological fluorescence data. Develop and maintain modular analysis pipelines in Python or MATLAB, integrating data preprocessing, feature extraction, and
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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fatigue testing of metals Skills in in situ testing, FIB sample preparation, and image/data analysis tools (e.g., DigitalMicrograph, ImageJ, Python/Matlab) are beneficial. Strong understanding
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, Urban Planning, Urban Economics, or a related field. Experience in research projects applied to urban, environmental, or socio-economic issues. Proficiency in urban modeling tools such as MATLAB, Python
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well as proficiency in MATLAB, Python, or similar for real-time data analysis. Knowledge of implantable neural interfaces, electrophysiology, and stimulation technologies is also essential. Informal enquiries may be
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• Proficiency in MATLAB • A proven track record of peer-reviewed publications Preferred Qualifications • Expertise in high-speed turbulent flows • Experience developing novel measurement techniques in hypersonic
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completion), along with relevant experience. You must also have expertise in precision physiological recording, signal processing, and artefact suppression techniques, as well as proficiency in MATLAB, Python
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languages such as Matlab and Python, along with experience in dielectric spectroscopy, ellipsometry, and calorimetry, is highly valued. Prior involvement with nanoconfined systems and nonequilibrium
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, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC