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pipelines using industry-standard tools (e.g., GitHub Actions, Jenkins, Azure DevOps) for automated ML model deployment, monitoring, and retraining Design and manage hybrid cloud/on-premises environments to
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. Implement model tracking, versioning, and reproducibility practices. Deploy and manage machine learning models in cloud and production environments. Containerize applications and support scalable
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, Environmental Engineering, Maritime Engineering, or a related discipline. • Good programming skills in Python. • Experience in data analysis, scientific computing, modelling, or software development
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Engineering, Maritime Engineering, or a related discipline. Good programming skills in Python. Experience in data analysis, scientific computing, modelling, or software development. Knowledge of techno-economic
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studies Professional supervision and collaboration in a dedicated team A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible working to combine study and job
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education; and (3) relevant preparation, including coursework and skills in mathematics, statistics, computing, and/or mathematics education, as well as any specialized training, research experience, or
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research advisor(s) at any of the participating MPIs or universities. The International Max Planck Research School for Trustworthy Computing (IMPRS-TRUST) is a graduate program jointly run by the Max