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Sustainable ML for Semiconductor Process Footprint

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Sustainable ML for Semiconductor Process Footprint

A leading technology research center in Belgium is seeking a Master intern to apply machine learning techniques for predicting the environmental footprint of semiconductor processes. The ideal candidate will have experience in unsupervised machine learning and Python programming. You will actively engage in research and model development, contributing to sustainability efforts in semiconductor manufacturing. This role offers the opportunity to enhance your skills while working closely with experts in the field. #J-18808-Ljbffr

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Machine learning to predict the environmental footprint of semiconductor processes
  • Leuven
  • 21 februari 2026