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internal erosion and pipe progression in clay-sand layered dikes. Derive constitutive modelling approaches from high-fidelity DNS-DEM data generated within the broader project consortium. Capture the multi
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) with computational methods. The candidate will obtain single-molecule multiplexing data and validate machine learning predictions using the high-throughput data. The successful candidate will collaborate
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Orbit (LEO) Satellites, High Altitude Platform Stations (HAPS), and Unmanned Aerial Vehicles (UAVs). While such integrated networks can provide ubiquitous connectivity and improved resilience, they also
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. Experience in comparative genomics, molecular evolution, phylogenetics, population genomics or transcriptomics would be an advantage. Familiarity with genomic data formats, high-performance computing, workflow
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experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team
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term projects include: developing novel semiconductor qubits with superior performance, scaling semiconductor qubit systems, and investigating multi quantum well structures for higher dimensional quantum
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(nano)hormone-chemotherapy strategy for hormone-dependent breast cancers expressing the HER2 receptor (HR+HER2+). These cancers are associated with poor prognosis and high mortality and account for
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platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile
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Are you an engineering scientist who wishes to contribute to high-tech applications, state-of-the-art modelling or experimentation of advanced sustainable materials across the scales? We are looking
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components which allow torque to be transmitted between two shafts while also allowing for assembly/disassembly. Building on a long history of work within the Transmissions UTC into the performance of spline