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, imaging, or other high-dimensional biological datasets. · Proficiency in R and/or Python for computational biology and bioinformatics analyses. · Excellent analytical, organizational, written, and verbal
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estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in relevant scientific programming or quantum-software tools, such as Python
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programming skills in Python and/or R; experience with STATA, MATLAB, or SQL is advantageous. Experience with aviation, airport, airspace, flight trajectory, or transportation datasets. Strong publication
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using python, MATLAB, etc. Ability to support organisation of webinars and remote and in person training activities Publications in Q1 journals on the above topics Please see the attached job description
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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knowledge of mountain environmental processes, alpine ecology, and/or vegetation change; experience from or competence in using R, Python or comparable programming and analytical tools; show evidence of being
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econometric skills and experience using statistical software such as Stata, R or Python. You will bring demonstrated experience in empirical research, survey design or implementation, data analysis and research
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, and modeling tools (e.g., Python, MATLAB, TCAD, photonic simulation software). Strong analytical, problem-solving, communication, and teamwork skills, with the ability to work independently in a
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Models. Experience with deep learning frameworks such as PyTorch or TensorFlow. Proficiency in programming languages including C/C++, Python, Java, and Go. Familiarity with Digital Content Forensics
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for research and data analysis purposes (e.g. Python or similar languages), experience with eye-tracking or physiological sensing methods, as well as strong numerical and analytical skills. Competent in general