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environments that help learners develop deeper conceptual understanding and problem-solving skills. Topics may include multimodal representations of code, intelligent feedback mechanisms, and the cognitive
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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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(SA) codes, which include assessing and validating thermodynamic data to predict the behaviour of fission products like caesium and strontium in liquid phases during accidents. Job description In
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, highlighting those most relevant to the project's research direction Portfolio – Overview with project summaries and links to external sources (e.g. websites, code repositories, datasets, and other supporting
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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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., participation to coding competitions, olympiads in math or computer science, etc.) and how they can benefit eDIAMOND. The strengths of your best scientific projects (e.g., thesis, report, article) and their
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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
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referees who can provide professional references (We will contact them as we review the applications). Portfolio – Overview with project summaries and links to code repositories, datasets, and other