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Computer Engineering, Computer Science, or a related field. - Solid programming skills (e.g., Python, C/C++, MATLAB). - Knowledge or strong interest in at least one of the following topics: Image/video
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proficiency, particularly in Python Experience with or strong interest in, Language models (SLMs/LLMs), Agentic AI systems, Deep learning architectures, Multimodal AI (e.g., text, time-series, sensor data
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Matlab or Python) are required. Experience in time series analysis is an advantage. Knowledge of physical oceanography at high latitudes is an advantage. Applicants must be able to work independently and
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dynamics of civil and marine structures experience in finite element analysis and ability to code in Python or similar software motivation and potential for research within the field professional and
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of results_0.pdf to calculate your points for admission. Applicants are expected to have: Good programming skills, preferably in Python Ability to develop and implement computational methods Ability to work
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implementing and evaluating precision technologies. Experience in the use of scripting languages (e.g. python, R, etc.) Experience performing multivariate statistical analyses and using statistical analyses
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computing (e.g. Python, MATLAB, or similar) for data processing and data handling Experience with data processing, analysis and interpretation Excellent interdisciplinary communication – Strong collaborative
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analysis workflows (Python and/or Julia-based; HPC-oriented handling of large datasets). Depending on competence: contributing to research software development supporting simulations and/or data workflows
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integration, database systems, or data quality. 2. Skills: Proficiency in Python (data processing, APIs) and good engineering practices (Git, testing, documentation). Experience with at least one: vector search
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised