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Field
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such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in R or Python). Excellent written and verbal English skills, strong communication and
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aeroacoustics (wind tunnel testing, microphone arrays) MATLAB / Python for signal processing CFD software (ANSYS Fluent, OpenFOAM) FEM softwares (COMSOL, ACTRAN) Spectral analysis (FFT, wavelets) Behavioural
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modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record
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Time-Domain Spectroscopy, Hall measurements, Raman microscopy, device fabrication, Scanning Electron Microscopy, Instrument control in LabVIEW or python, synthesis of 2D materials, 2D materials
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methods, strong publication potential, good command of English, programming skills in MATLAB, Python, R, Julia, or similar. Experience in one or more of the following is an advantage: time series analysis
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issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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programming languages and tools is required: Stata, R, Python, and LaTeX. Familiarity with NVivo, SPSS, GeoDa, and Mallet for computational text analysis is a plus. Solid knowledge of economic analysis as
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experimental particle physics, with less than 2 years experience after the PhD • Programming: skills in Python, C++ and ROOT • Language: fluency in spoken and written English. Some level of French could be
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of computational neuroscience concepts - Expertise in dynamical systems theory - Knowledge of machine learning - Experience with neural data analysis ### Technical Skills - Advanced scientific programming (Python