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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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). Knowledge of complex network modelling, omics data analysis or computational simulation. Research FieldOther Internal Application form(s) needed Perfil. .pdf English (606.79 KB - PDF) Download Additional
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of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell
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complex biological data into mechanistic insights with direct relevance for therapeutic and diagnostic innovation. The laboratory is based at one of the world's leading medical universities and promotes
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complex contagions on higher-order structures (e.g., hypergraphs and simplicial sets). The work will focus on mathematical modeling with a special focus on network science and complex systems, but a strong
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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, which in turn will be used to engineer highly specialized neuronal cellular subtypes for cell transplantation therapies. To achieve this goal, the candidate will combine a gene network-based approach with
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research in network, cellular, and molecular neuroscience that helps us to understand the neuronal and glial basis of integrative brain function as well as their molecular underpinnings. INCC physicists
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ongoing efforts in inverse and data-driven modeling, enabling quantitative interpretation and predictive design of complex magnetic systems. Postdoctoral Researcher: Multilayer Magnetism for Spintronic
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the analysis of complex biomedical data using state-of-the-art AI and agentic system approaches, as well as the development of novel machine learning and deep learning algorithms. Your work will range from