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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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and analyse eviction court datasets across the cities under study, i.e. Brussels, Amsterdam, Barcelona, and Thessaloniki; Develop comparative indicators of urban eviction rates; Conduct advanced
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reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate
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(www.aertslab.org), led by VIB.AI Scientific Director Stein Aerts, is seeking a talented postdoctoral researcher to develop next-generation sequence-to-function models for glioblastoma (GBM). Glioblastoma is the most
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to develop multiplex genome editing systems in sorghum, tropical maize and rice, leading to the identification of gene combinations strengthening seedling vigor. We are seeking a highly motivated, critical and
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Company description The Roeffaers Lab at KU Leuven develops cutting-edge microscopy techniques to address key challenges in environmental science, catalysis, and biomedical research. Our team
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part in the instrumentation developments related to this facility in Maastricht. The University of Antwerp is also one of the initial founding research units of the Einstein Telescope Collaboration
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Alzheimer’s disease to develop and/or apply computational approaches to large scale genomic or transcriptomic datasets for identification of targets for early detection, prevention or treatment of Alzheimer’s
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anatomical analysis. The core scientific objective is to develop a unified pipeline that integrates generative AI, statistical shape modeling, and biomechanical soft tissue modelling to enhance anatomical
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environments for researchers to test their results on advanced equipment. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate should develop the following