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learning technologies. You will actively participate in code reviews and maintain comprehensive documentation to ensure code quality and reproducibility. Additionally, you may be expected to contribute
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to solve selected problems. Code and test the proposed solution (PoC), communicate results to stakeholders, and provide final reports of the work done and related outcomes. Present data science results
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experience in statistical analysis and implementing machine and deep learning models using Keras/TensorFlow and/or PyTorch. You have experience in collaborative coding, version control, and utilizing computer
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collected data Grade student answers and drawings by following a rubric Code session recordings with qualitative methods (using a predefined codebook) Collaborate with the researcher to refine the codebook as
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diffusion. Job description You will work on the analysis of privacy laws worldwide. Your tasks will include: Mapping global legislation on privacy law Coding privacy laws by reading them and analyzing whether
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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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elasticity, dissipation, and slender geometry interact to influence crack initiation and growth. Using in-house codes and high-performance computing resources, the candidate will simulate fracture processes
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-constrained Machine Learning, and the match with the eDIAMOND project’s goals. For example, you can mention: Your achievements and awards (e.g., participation to coding competitions, olympiads in math
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technical AI experience and research interests Bachelor's and Master's transcripts and diplomas Code samples or links to GitHub repositories (if available) Applications should be submitted through the ETH
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Are you a scientist willing to engage with policy actors and channel your research towards policy needs? Are you an international policy professional looking to ground your work in scientific