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which to develop, integrate, and stress-test new technologies under realistic operating conditions. In parallel, SIT works closely with the maritime ecosystem on decarbonisation and digitalisation
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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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Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who believes in continuous learning and development
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. Experience with hybrid quantum-classical workflows. Proficiency with Qiskit, PennyLane, CUDA-Q or equivalent. Strong programming skills and familiarity with AI/ML tools. Experience in industry
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, TensorFlow, Scikit-learn, CNTK, big data technologies such as Apache Hadoop and Spark, and DevOps/MLOps. Strong foundation in data structures, data modelling, and software architecture, with programming