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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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. - Proficiency with Python and data analysis frameworks. - Familiarity with large, complex datasets and modern computational techniques. - Good written and oral scientific communication skills. • Experience
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metrics, or similar frameworks. Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high-performance computing (HPC
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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Excellent publication track record on top tier conferences/journals Proficiency in programming language Python Excellent verbal and written communication skills We regret to inform that only shortlisted
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ability to think critically about scientific analysis in order to ensure robust results Computational skills to include experience of using a statistical package (e.g., R, MATLAB or Python) Ability to work
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. • Proficient experience with various robotics simulators (e.g., MuJoCo, PyBullet, Gazebo) and excellent programming skills in C++, Python, and MATLAB with the ability to develop efficient, production-quality
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requirements: Solid knowledge of programming and signal processing, based on Matlab or Python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase
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greater than or equal to 16 out of 20; Experience in python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic
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knowledge in modeling light propagation in non-Hermitian random media. Proficiency in programming languages such as Matlab, Mathematica, or Python. Proficiency in using electromagnetic simulation software