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necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity with at least one engineering design software
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management, data analysis and data visualisation of data from clinical studies and registries using Python/R, with methods such as machine learning and network meta-analysis. Eligibility The
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Sentinel-1/2 time series. Strong proficiency in Python for geospatial data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written
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or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium imaging data) FELASA B certification to
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(Python and R for using the tracking software and data produced) abilities, and a publication record demonstrating excellence in these key skills. Excellent written and oral communication skills are
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open-source; Optimization of building energy consumption, both electrical and thermal; Modelling, optimization and/or control of either buildings or energy systems; Programming in Python, MATLAB, or
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experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating
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communication skills in written and spoken English We consider it a merit if the candidate has skills in programming languages (e.g. python, R), has experience in fieldwork and has a driving licence. In the
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demonstrated the ability to conduct high-quality research in high-dimensional statistical theory, from both theoretical and applied perspectives. Strong programming skills in R, MATLAB, and Python are
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data-driven modelling, particularly for chemical or process systems Experience with Python, or similar tools for data analysis and modelling Experience with mechanistic or kinetic modelling of