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- Storage: An #HDF5 database to save and load results and histories. - Ensemble analysis and predictions Paul Stapor - Model selection: Various easily usable model selection strategies Dilan Pathirana

- Hierarchical optimization to efficiently handle scaling, offset and noise parameters Daniel Weindl Dilan Pathirana - Parameter estimation for ordinal data via an optimal scaling approach, also for censored data Domagoj Dorešić L

Thanks a lot to all #pyPESTO contributors! Paul J. Jost, @fabfrohlich, Jakob Vanhoefer, Daniel Weindl, Dilan Pathirana, Paul Stapor, polina.lakrisenko, Dantong Wang, L, Stephan Grein, Simon Merkt 👨‍🔬👨‍💻👨‍🏫, Domagoj Dorešić, Elba Raimundez, Lea Seep, Jan Hasenauer and others! ❤️👏

Also, nice to see that #pyPESTO has far surpassed 100 ⭐️ on GitHub! 😁🎉

AMICI 0.17.0 is out with SBML plugin and AlgebraicRule support and lots of other goodies: github.com/AMICI-dev/AMIC…. Thanks to Daniel Weindl, @fabfrohlich, Dilan Pathirana, polina.lakrisenko and Henrik Podéus for contributions!

Fascinating talk by Sabine Fischer on #spatial #models for #embryogenesis in the #mathematical #life #science club of the Rheinische Friedrich-Wilhelms-Universität Bonn. Amazing to see how models can help to unravel complex biological mechanisms.

After 3 days of BAT Science, with great presentations, intense discussions and exciting Elbe cruise at #BATenergy meeting, I would like to thank all speakers and participants to come to Hamburg. It was a lot of fun...big thanks also to the #DFG for their support! #TRR_BATenergy

Exciting new opportunities @TUM in Munich: Two open professorships for organoid technologies 🙂 portal.mytum.de/jobs/professur…

Next up at #SysMod #ISMBECCB2023 is Domagoj Dorešić describe an efficient spline approximation method for integration of nonlinear-monotone data in ODE modeling parameter estimation and identification of data nonlinearities #pyPESTO #PEtab #HasenauerLab Jan Hasenauer Stephan Grein

Check out the ERC Consolidator Grant competition results. Many exciting projects receive funding. Special congratulations from our side to Jan Hasenauer and FISchmidtLab from ImmunoSensation! 👏

Gleich drei Forscher der Rheinische Friedrich-Wilhelms-Universität Bonn erhalten einen ERC Consolidator Grant des European Research Council (ERC): Herzlichen Glückwunsch an Jan Hasenauer LIMES Institute Bonn, FISchmidtLab vom Institut für Angeborene Immunität und Dr. Evgeny Shinder vom Mathematischen Institut. #ERCCoG➡uni-bonn.de/de/neues/220-2…

#UniversityofBonn receives three ERC Consolidator Grants European Research Council (ERC): Congratulations to Jan Hasenauer LIMES Institute Bonn, FISchmidtLab of the Institute for Innate Immunity and Dr. Evgeny Shinder of the Mathematical Institute. ▶️uni-bonn.de/en/news/220-20…

I am honored that my @ERC_research proposal has been selected for funding and I would like to thank everyone who has supported me over the past years, especially my great lab at the LIMES Institute Bonn, #UniversityofBonn and our collaboration partners.

We have Master's theses available in the field of computational neurology! Ruhr-Universität Bochum computationalneurology.com/join-our-team/

We have a postdoc opening (in the field of model-guided TMS!): ini.rub.de/the_institute/…

Interested in #SystemsBiology, #Bioinformatics, or #MachineLearning for #LifeSciences applications? We’re hiring #PhD and #Postdoc researchers at @UniversityBonn! Check out our #jobannouncements: nature.com/naturecareers/… nature.com/naturecareers/… nature.com/naturecareers/…

Stephan Grein Tobias Fromme Martin Klingenspor Mass Lab Christian Kurts Jan Hasenauer cOmicsArt bridges GUI-based and code-based workflows for bulk #omics data analysis. The tool offers interactive visualizations, statistical methods, and automatic report generation, with seamless integration into #R for reproducibility and further customization.

Shiny-Calorie: A context-aware application for indirect calorimetry data analysis and visualization using R biorxiv.org/content/10.110… #biorxiv_bioinfo