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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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. This can be either a study year in Germany as part of your study programme at your home university or an independent project or complementary study course with a professor/an instructor in Germany. The
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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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course of study in the fields of Fine Art, Design, Visual Communication and Film. The scholarships also promote the exchange of experience and networking amongst colleagues. Who can apply? You can apply if
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only funds projects in the artistic field. Other DAAD scholarship programmes are available for applicants from the field of musicology or music education or musicians with a scientific project. Duration
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks Design and implement clustering and integration approaches (e.g., network-based and subspace clustering
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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the areas of Architecture, Interior Design, Monument Conservation and Building in Existing Contexts/Reconditioning of Old Buildings, Urban Planning/Urban Development, Landscape Architecture, Landscape
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data from relevant sources, and build a joint knowledge and data repository. Design effective material counterfactuals: Design, implement, and investigate counterfactual reasoning useful for proposing