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with statistical analysis and machine learning using Python, R, STATA, or similar tools. Experience with agent-based modeling and working with socioeconomic datasets. Experience with grant writing
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
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transient absorption spectroscopy. Proficiency in ultrafast laser pulse compression, including pulse characterisation techniques like FROG and autocorrelation. Good coding skills (e.g. Python, MATLAB, LabView
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. Documented experience and interest in developing models coupling the dynamics of soil, plants, and the atmospheric boundary layer as well as strong quantitative and programming skills (in MatLab, R, Python, C
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of gravitational wave physics and the LISA mission. Knowledge of python and other programming languages is a strong advantage. Experience of handling large data sets within international collaborations. It is