Hochattraktiver akademischer Werdegang – Professorales Recruiting Offenburg – Teilvorhaben BCT Technology AG: HAW Post-Doc Künstliche Intelligenz

dc.contributor.authorZhao, Xiao
dc.date.accessioned2026-02-06T08:49:07Z
dc.date.available2026-02-06T08:49:07Z
dc.date.issued2026-01-30
dc.description.versionpublishedVersion
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/29935
dc.identifier.urihttps://doi.org/10.34657/29004
dc.language.isoger
dc.publisherHannover : Technische Informationsbibliothek
dc.relation.affiliationBCT Technology AG
dc.relation.affiliationHochschule Offenburg
dc.rights.licenseCreative Commons Attribution-NonDerivs 3.0 Germany
dc.rights.urihttps://creativecommons.org/licenses/by-nd/3.0/de/
dc.subject.ddc000 | Informatik, Information und Wissen, allgemeine Werke
dc.subject.otherKünstliche Intelligenzger
dc.subject.otherProduct Lifecycle Managementeng
dc.titleHochattraktiver akademischer Werdegang – Professorales Recruiting Offenburg – Teilvorhaben BCT Technology AG: HAW Post-Doc Künstliche Intelligenzger
dc.typeReport
dcterms.event.date01.08.2022-30.07.2025
dcterms.extent20, 3 Seiten
dtf.funding.funderBMFTR
dtf.funding.program03FHP127B
dtf.funding.verbundnummer01240673
tib.accessRightsopenAccess

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