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collaboration with the team. Your profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Knowledge of UHV and thin-film technology Prior experience in PVD and
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profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Knowledge of UHV and thin-film technology Prior experience in PVD and surface science Prior
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of domain-specific data and knowledge. Develop new tabular foundation-model approaches where existing pre-trained models are insufficient, with a particular focus on transferability across heterogeneous
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Dübendorf. Desired starting date is as soon as reasonably possible or upon mutual agreement. We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and
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, investigating efficient adaptation strategies and the use of domain-specific data and knowledge. Develop new tabular foundation-model approaches where existing pre-trained models are insufficient, with a
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results-oriented team player. Ideal profile includes following competencies and experience: Strong programming skills, deep statistical knowledge and a proven track record with machine learning Solid