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assessed according to the following weights and criteria: - Quality of the Curriculum - Proven knowledge of imaging data analysis software (20%); proven programming skills: Matlab, Unix, Python (20
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record is as one reference Proficiency in programming tools (e.g., Python, MATLAB, or C++) for data processing and model development is preferred. Proficiency in English and good communication capabilities
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, atmospheric science, data science, or a related field. At least 1 year of related professional or academic experience. Experience with hydrologic modeling and data analysis in Python, MATLAB, or similar
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Strong quantitative background Experience with programming languages (e.g. MATLAB or Python) Experience with statistical software (e.g. R or Stata) Ability to work across broad scientific missions and
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) for dynamic systems with unknown but measurable performance functions. Experience in system identification and online time-varying parameter estimation algorithms. Programming skills in MATLAB/Simulink, C/C
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execution of thermal experiments, indoors and outdoors. Numerical modeling: FEM, lumped models. Thermocouples, pyranometers, IR sensors, data loggers and thermal cameras. Programming: Python and MatLab
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, FTIR, UV-Vis spectroscopy. Materials for energy: photovoltaics, radiative cooling. Scientific programming: Python, MatLab. Other requirements to consider: Troubleshooting with laboratory equipment
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technologyEducation LevelBachelor Degree or equivalent Skills/Qualifications Technical Skills: Experimental tests on cold-formed sheet metal profiles. Ansys mechanical apdl software. Matlab. Python. Specific
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-derived spectral signatures. Analytical workflows will be implemented in Python, R, Matlab and QGIS. Classification outputs will be integrated with ecological and spatial data to evaluate biogeographical
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. A minimum of two years of employment as a research assistant. Fluency with Stata. Fluency with Python. Familiarity with Matlab. Preferred Competencies Knowledge in relevant scientific field. Problem