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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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denomination: post-graduates or academics who already have work experience and plan to do post-graduate studies or spend a period of research at a higher-education institution in Germany (2 to 6 months
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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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
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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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: Design hierarchical models that explicitly capture misspecifications in metabolic models Develop differentiable and scalable inference algorithms using automatic differentiation Implement HPC-tailored
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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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-source software development and industrially relevant applications. Tasks include: Development of molecular descriptors from protein structures and simulations Design and training of QSPR and machine
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, Slovakia and Ukraine who plan to complete postgraduate studies (i.e. Master's programmes), PhDs or one-year research stays at a Bavarian higher-education institution. The one-year scholarship can be
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network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring the use of large language models to support neural network design and data preprocessing