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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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sorting, calcium imaging, long-term tracking). • Experience with behavioral tracking and multimodal dataset integration. • Proficiency in Python, MATLAB, scientific computing, and pipeline development
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agricultural, data or engineering sciences, or a closely related field Experience with fieldwork Good statistical skills Programming experience (e.g. in R or Python) Good standard of written and spoken English
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projects initially focused on virus data. This database system is written in TypeScript, React, Kotlin and Python and part of the position is to extend this system. The other part of this position is to
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programming skills in Python Experience with machine learning systems or LLM-based architectures Experience working with complex data systems or developing applied AI prototypes Familiarity with modern AI tools
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software Stata Conducting cluster analysis in Python or R Conducting literature searches and summarising relevant academic research Assisting with the design, implementation, and evaluation of internal
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running data-driven or hybrid hydrological models Strong programming skills (ideally in Python and/or R) Experience in working with large datasets, ideally hydrological, meteorological or climate
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(e.g., in R or Python) A good standard of written and spoken English as well as a driver’s license are mandatory Good writing skills and the ability to work in a team with an interdisciplinary background
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-learning models on distributed systems Strong programming skills in Python and familiarity with a modern ML stack (e.g., PyTorch, hydra, zarr, dask) and best practices MLOps Experience in handling and
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. Strong programming skills in Python and familiarity with a modern ML stack (e.g., PyTorch, hydra, zarr, dask) Experience in handling and processing large datasets or experience in high-performance