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communication skills in English are required. Assessment criteria: Good programming skills (e.g., C++, Python, Julia), knowledge of the most common frameworks, e.g., Tensorflow and JAX, and cloud platforms/deployment
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analysis, Python programming, and deep learning frameworks (e.g., TensorFlow, PyTorch) is expected. Prior work in cancer research or medical imaging is an asset. The successful candidate will join an
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society. With unique research expertise, we offer education at the undergraduate and graduate levels, as well as within our international master's programs. The Electronics Materials and Systems Laboratory
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programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation