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Field
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, state-of-the-art modelling of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong computational mechanics profile
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explore advanced data structures, Spatial and non-spatial Database Management Systems, and high-performance computing strategies to enable fast, scalable handling of these datasets. You will also
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Ready to shake things up in aerospace manufacturing? Join us in developing next-gen quality assurance methods for 3D-printed metal parts using vibrations, AI and physics-informed models, and help
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Application deadline: 5 January 2026 Apply now Do you want to develop predictive models that integrate omics and environmental data, advancing the field of precision prevention? Join the Institute for Risk
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project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets
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planning. On the customer side, the research will focus on how ESG indicators can be meaningfully embedded into portfolio assessments and risk models. For instance, should a construction firm that actively
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we address the following steps/questions: Characterize the molecular structure and molecular distribution of suitable polymer pyrolysis waste streams to aid modelling of filler-matrix interfaces
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brain connectome organization and the integration of this data with recent functional and structural connectome properties and recent evolutionary genetic discoveries, utilizing large-scale bioinformatic
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ion transport investigations to develop robust 2DHMs. We will synthesize 2DHMs in the form of horizontal and vertical heterostructures, for which reliable structure property correlations will be
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has a long-term involvement in detector construction (the semiconductor tracker, barrel muon chambers, readout, alignment, and data acquisition). For the phase-2 upgrade (2027-2030), we will instrument