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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic
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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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data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: https://www.hds-lee.de/ The position is placed at the Institute for Advanced
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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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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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Silveira Júnior IV - Work Plan / Goals to be achieved: The aim of the research grant is to carry out research under the WOOSU project - “Waste Water Treatment Optimal Operation and Symbiotic Upgrades”, with
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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 Director of Scholarship and Career Advancement provides leadership for faculty support for research, scholarship, mentoring, leadership, and career advancement; shapes the vision, sets goals, designs leading
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, critical thinking, and ability to work independently; h) Category B driving license; i) Immediate availability. 4. Working Plan: Participation in the DAIRITAL project: Development of sustainable production