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scalable process foundation for SiPFAB. Your Key Responsibilities You will take ownership of: Establishing, developing, and optimizing chemical processes for semiconductor applications. Actively contributing
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large datasets (Pandas, NumPy, Arrow, Parquet) Interest in performance optimization and memory efficiency Understanding of asynchronous / concurrent programming We require capability to communicate in
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—especially GaN devices—using pre-metallized AlN carriers. The aim is to understand, optimize, and scale bonding processes for both small and large GaN chips. Planned Thesis Work will include both literature
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Doctoral Researchers (PhD students) to work on deep learning methodologies for machine and robot perception. These positions are funded by the Horizon Europe project OPERA (Open Perception, Learning, and
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, microscopy, synthetic biology, etc.). Job description We are looking for a Doctoral Researcher with a background in Systems Biology / Bioinformatics / Biophysics, or equivalent. The PhD student will join an