Objective
Mathematical, computational models are central in biomedical and biological systems engineering; models enable (i) mechanistically justifying experimental results via current knowledge and (ii) generating new testable hypotheses or novel intervention methods.
SyMBioSys is a joint academic/industrial training initiative supporting the convergence of engineering, biological and computational sciences. The consortium's mutual goal is developing a new generation of innovative and entrepreneurial early-stage researchers (ESRs) to develop and exploit cutting-edge dynamic (kinetic) mathematical models for biomedical and biotechnological applications. SyMBioSys integrates: (i) six academic beneficiaries with a strong record in biomedical and biological systems engineering research, these include four universities and two research centres; (ii) four industrial beneficiaries including key players in developing simulation software for process systems engineering, metabolic engineering and industrial biotechnology; (iii) three partner organisations from pharmaceutical, biotechnological and entrepreneurial sectors. SyMBioSys is committed to supporting the establishment of a Biological Systems Engineering research community by stimulating programme coordination via joint activities.
The main objectives of this initiative are:
* Developing new algorithms and methods for reverse engineering and identifying dynamic models of biosystems and bioprocesses
* Developing new model-based optimization algorithms for exploiting dynamic models of biological systems (e.g. predicting behavior in biological networks, identifying design principles and selecting optimal treatment intervention)
* Developing software tools, implementing the preceding novel algorithms, using state-of-the-art software engineering practices to ensure usability in biological systems engineering research and practice
* Applying the new algorithms and software tools to biomedical and biological test cases.
Fields of science
- engineering and technologyindustrial biotechnologymetabolic engineering
- natural sciencesbiological sciencescell biologycell signaling
- natural sciencescomputer and information sciencescomputational science
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
- natural sciencesmathematicsapplied mathematicsmathematical model
Programme(s)
Call for proposal
H2020-MSCA-ITN-2015
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Funding Scheme
MSCA-ITN-ETN - European Training NetworksCoordinator
SW7 2AZ London
United Kingdom
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Participants (10)
28006 Madrid
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54636 Thessaloniki
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70563 Stuttgart
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W6 7HA London
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4715 387 Braga
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10117 Berlin
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16675 Glyfada
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9712CP Groningen
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52074 Aachen
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1015 Lausanne
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Partners (2)
305 701 Daejeon
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SW7 2PG London
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