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. Responsibilities include statistical analysis, data scraping, and literature reviews, using tools like Stata, MATLAB, Python, and R. Ideal candidates should have a strong quantitative and programming background
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the potential ability to perform the essential functions of the job as outlined in the position description. Preferences Proficiency in one or more programming languages (Python, R, SQL, MatLab, etc.) Background
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the project’s scope – up to 1 point. c) Knowledge of MATLAB, Python, or equivalent software for the analysis and processing of experimental data – up to 5 points. The curriculum of each candidate will be
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machine learning, deep learning, or data assimilation. Experience with scientific programming (Python, R, MATLAB, etc.) and geospatial tools (ArcGIS, QGIS, GDAL, GeoPandas, etc.). Demonstrated publication
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e.g. Python or MATLAB. Knowledge or interest in experiment design, execution and evaluation. Experience with statistics and data-processing methods. Other experience relevant to the third-cycle studies
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with clinical populations or translational research settings. Strong programming skills (e.g. Python, MATLAB, R) and experience with statistical modelling or machine learning. A strong publication record
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(e.g., Python, MATLAB, or similar). Excellent analytical, communication, and teamwork skills. A collaborative mindset and the ability to work in multidisciplinary and international teams. You are
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neuroimaging. You work in a multidisciplinary environment that combines technical expertise with clinical relevance. Where to apply Website https://www.academictransfer.com/en/jobs/357524/multimodal-mri
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knowledge of the control techniques along with an indication of the publications in which they were used) • Advanced programming skills in Python and/or Matlab/Simulink • Previous experience in
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with