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team. The successful candidate will apply machine learning (ML) and data science approaches to identify and define volatile biomarkers associated with bacterial activity in urine samples, with a focus on
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/heat transport measurements Expertise in vacuum technology and film growth and/or exfoliation of vdW flakes Expertise in microfabrication using optical lithography and e-beam lithography Good software
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motivated candidates with outstanding basic and cancer biology expertise, coupled with proven immunology expertise, to join an established, multicultural group of more than 27 talented scientists. Experience
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both by their relevance and originality, spanning from applied science to blue-sky research, as well as from fine arts to artistic research. The Collegium also encourages small interdisciplinary teams