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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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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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: 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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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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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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formulations Development of a screening platform for cosmetic formulations Data analysis by “Design of Experiments” (DoE) and other statistical tools Your profile Successfully completed graduate university
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model surrogates using machine-learning methods to replace very time-intensive simulations. Design an efficient training strategy for these machine-learning tools, making use of existing model simulations
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physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and
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measured by the study plan and the letter of motivation In addition, the selection committee will give due consideration to aspects of equal opportunities, on which you can provide information in
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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