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(e.g., using Python, or similar tools) is advantageous. Good communication skills in English (written and spoken). Ability to work collaboratively and supportively in an international research
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., segmentation, denoising, feature extraction), including both classical techniques and AI-based approaches Proficiency in Python and experience with tools like napari, scikit-image, OpenCV, and Pytorch
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, reproducible, and robust code in Python. The candidate will make use of and contribute to Anemoi , a toolbox for the use and implementation of AI tools for weather and climate applications, developed by
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techniques for stable isotopes and radiocarbon, and interest in complex automated setups. Software skills (e.g. Python, MATLAB or R). Excellent verbal and written communication skills in English. German is a
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, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing clusters is required. A MSc degree in genetics
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Technical Proficiency: Familiarity with engineering tools with focus on design automation Experience in programming (e.g. Python) or machine learning and a desire to deepen your expertise Experience in
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ecophysiology. You must have good statistical skills, experience with fieldwork, and programming experience (e.g., in R or Python). A good standard of written and spoken English as well as a driver’s license are
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the list of passed exams (particularly those related to the project and the areas above) and their grades. Strong programming skills (i.e., Python and main Machine Learning frameworks such as Pytorch
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and workflows (e.g., Hugging face, Keras, Torch, etc) Research experience in conducting end-to-end experiments and academic writing. Experience writing Python programs and using developer tools (e.g
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design tools, finite element simulation tools, topology optimization tools, path planning and slicing tools, etc.); Experience with programming, preferably Python; Deep enthusiasm for conducting original