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in large-scale computational image processing and analysis You are experienced in coding in MATLAB or equivalent language suitable for high content imaging analysis. You have a proven ability to
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transplantation and it is very difficult to treat. In this project our aim is to understand the underlying pathology of aGVHD to avoid and/or improve treatment of this potentially life-threatening complication
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brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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approaches, balancing the need for high-resolution imaging of shallow infiltration zones with the ability to map deeper flow paths and connections to underlying aquifers. The work will include numerical
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, maintenance, and data analysis. Strong background in MS-based proteomics data analysis and familiarity with modern computational tools. Additional experience in high-throughput proteomics, low-input proteomics
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on these instruments. The focus areas include nano-imaging, nano-analysis, and in-situ process control for nano-fabrication. AINA’s multi-disciplinary team of experts in charged particle optics, mechanical engineers
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areas. At least one first-author publication, accepted or submitted Strong analytical, organizational, and record-keeping skills Proficient computer skills, including MS Office and research software
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Biology Research Centre at Human Technopole combines computational and experimental techniques to study how tumours arise and evolve. Our goal is to measure the evolutionary processes in human cancers
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, Belgium. Its mission is to unravel plant biological processes and translate this knowledge into value for society. The Functional Phosphoproteomics group (https://www.desmetlab.be/), tackles early