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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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into open-source software tools and data portals of the institute • Collaborate with internal and external, as well as national and international, project partners Present your results at national and
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issues that impact our society and are offering you the chance to actively help in shaping the change! This HDS-LEE PhD position will be located at Forschungszentrum Jülich. We offer ideal conditions for
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-source software, scientific publications, and a PhD thesis. Your tasks within framework in detail: Conduct a literature review on modern techniques for combining models with observational data, with a
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
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for Software Systems (MPI-SWS), the Computer Science Department at Saarland University, and the Computer Science Department at RPTU Kaiserslautern-Landau. IMPRS-TRUST cooperates with the Saarbruecken Graduate