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Field
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. Programming experience in at least one language such as Python, MATLAB, or C/C++. Strong analytical, quantitative, and problem-solving skills. The ability to work effectively both independently and as part of a
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, RocScience, ...) Knowledge of scripting or programming languages (e.g. Matlab, Python, R ...) Experience in automated processing of remote sensing data and time series analyses Strong interest and basic
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relevant field. Proficiency in programming in Python and experience in PyTorch, Scikit-Learn or related modern machine learning libraries. Some working knowledge of using Anthropic/OpenAI APIs. Good writing
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tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and present
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programme No Description/content The Graduate School for Geoinformatics (GSGI) provides a structured doctoral education in the interdisciplinary field of geoinformatics. GI (geoinformation) is a powerful
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case study analysis and comparative analysis are desired; experience in institutional analysis or discourse analysis, or GIS is a plus; Excellent command of English; knowledge of at least one language of
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skills in case study analysis and comparative analysis are desired; experience in institutional analysis or discourse analysis, or GIS is a plus; Excellent command of English; knowledge of at least one
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‑on experience with Python or other scientific programming tools. Candidates must have a strong analytical mindset and willingness to work across experimental and computational domains, be proficient in oral and
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quantitative and analytical skills. Experience with programming and data analysis (preferably in R; experience with Python, Julia, Matlab, or similar is also valuable). Experience in using AI to operate said
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position The PhD student will: Develop machine learning models for digital phenotyping and genomics Work with multimodal datasets (images, 3D data, motion, genomics) Implement models in Python (e.g. PyTorch