165 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Switzerland
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foundation. Candidates are also expected to have strong coding and implementation skills, with the ability to run large-scale experiments. While research experience is advantageous for PhD applicants, it is
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Infrastructure-as-code tools (e.g. Terraform/openTofu) Automation tools and framework, including CI/CD processes and ecosystem (e.g., Gitlab CI, HashiCorp Vault) Experience with the following is preferred, though
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increasingly Artificial Intelligence approaches, we are now focused on making these innovations broadly available to the scientific community and beyond. We aim to bridge the gap between academic code and real
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-funded project on AI-assisted programming interfaces. The research explores new ways to support computational thinking and mathematical reasoning through alternative representations of code, such as prose
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and training machine and deep learning models using Keras/TensorFlow and/or PyTorch, supported by experience in statistical data analysis. You have experience with collaborative coding practices