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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of offshore wind foundations through graph-based machine learning. Our goal is to perform full-structure
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of the team Extensive and excellent training for cryo-EM Dedicated new cell culture facility for adherent or suspension culture of mammalian cells State of the art systems for purification and analysis
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manufacturing machines (looms, bobbinfeeders, ...) under dynamic conditions. Such simulations are very challenging due to the use of diverse materials (natural and synthetic fibers, yarns and fabrics) which
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(UA). This fully funded PhD position offers a unique opportunity to contribute to the future of pandemic resilience through scenario analysis, clinical data collection strategies and implementation
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the preparation of a doctorate, contains: Description: Within the context of the Belgian funded FWO project “Integrated photonic Ising machines” there is currently an open position at the Vrije Universiteit Brussel
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with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake or Nextflow A willingness to learn and apply machine learning
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within a Research Infrastructure? No Offer Description Topics In the Computer Systems Lab, we aim to hire multiple PhD students on national and international research projects in the domain of software and
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principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put
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increasingly complex networks. By deploying and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project tackles key challenges in anomaly detection