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Lemanski, Jens [Author]

Summa und System : Historie und Systematik vollendeter bottom-up- und top-down-Theorien

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Münster: Mentis-Verl., 2013
Meitinger, Karl-Heinz [Author]

Top-Down-Entwicklung von aktiven Sicherheitssystemen für Kreuzungen

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2008
Helms, Maria Katharina [Author] ; Lindemann, Udo [Degree supervisor]; Lindemann, Udo [Other]; Meboldt, Mirko [Other]

Biologische Publikationen als Ideengeber für das Lösen technischer Probleme in der Bionik

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München: Universitätsbibliothek der TU München, 2016
Sundmacher, Kai [Author]; Schweizer, Jakob [Author] ; Max-Planck-Institut für Dynamik Komplexer Technischer Systeme

MaxSynBio - Max-Planck-Forschungsnetzwerk Synthetische Biologie : Schlussbericht 2014-2020

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Magdeburg: Max-Planck-Institut für Dynamik komplexer technischer Systeme, 20. Oktober 2021
Mutschler, Hannes [Author]; Schwille, Petra [Author]; Schweizer, Jakob [Author] ; Max-Planck-Institut für Biochemie

MaxSynBio - Nachwuchsgruppe Hannes Mutschler : Schlussbericht 2016-2021

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Magebdurg: [Max-Planck-Institut für Biochemie], [2021?]
Wegner, Seraphine V. [Author]; Lanfester, Katharina [Author] ; Max-Planck-Institut für Polymerforschung

MaxSynBio-Nachwuchsgruppe : Schlussbericht 2014-2020

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[Mainz]: [Max-Planck-Institut für Polymerforschung], [30. Juni 2021]
Rauch, Jens [Author] ; Universität Osnabrück

Datenintegration und Wissensgewinnung für lokale Learning Health Systems am Beispiel einer Zentralen Notaufnahme

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Osnabrück, März 2020

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Summa und System : Historie und Systematik vollendeter bottom-up- und top-down-Theorien

Bookmarks

Top-Down-Entwicklung von aktiven Sicherheitssystemen für Kreuzungen

Access

Bookmarks

Biologische Publikationen als Ideengeber für das Lösen technischer Probleme in der Bionik

Access

Bookmarks

MaxSynBio - Max-Planck-Forschungsnetzwerk Synthetische Biologie : Schlussbericht 2014-2020

Access

Bookmarks

MaxSynBio - Nachwuchsgruppe Hannes Mutschler : Schlussbericht 2016-2021

Access

Bookmarks

MaxSynBio-Nachwuchsgruppe : Schlussbericht 2014-2020

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Bookmarks

Datenintegration und Wissensgewinnung für lokale Learning Health Systems am Beispiel einer Zentralen Notaufnahme

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Bookmarks

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