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Mathematical modeling as a tool to improve influenza vaccine production processes

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Duvigneau,  Stefanie
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Dürr,  Robert
Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
KU Leuven, Leuven, Belgium;

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Laske,  Tanja
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Bachmann,  Mandy
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Dostert,  Melanie
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Reichl,  Udo
Otto-von-Guericke-Universität Magdeburg, External Organizations;
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Kienle,  Achim
Otto-von-Guericke-Universität Magdeburg, External Organizations;
Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Citation

Duvigneau, S., Dürr, R., Laske, T., Bachmann, M., Dostert, M., Reichl, U., et al. (2018). Mathematical modeling as a tool to improve influenza vaccine production processes. Talk presented at FOSBE 2018. Chicago, Illinois, USA. 2018-08-05 - 2018-08-08.


Cite as: https://hdl.handle.net/21.11116/0000-000D-0995-1
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