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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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are equipped with state-of-the-art chemical facilities including in-house UPLC-QTOF-MS coupled with DESI Imaging Mass Spectrometry, HPLC-DAD-MS, HPLC-HRMS, GC-MS, automated extraction systems such as Accelerated
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coupled with DESI Imaging Mass Spectrometry, HPLC-DAD-MS, HPLC-HRMS, GC-MS, automated extraction systems such as Accelerated Solvent Extraction (ASE) and Supercritical Fluid Extraction (SFE), FT-IR
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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management support, with concrete prototype, by analyzing and understanding data through models—both static and dynamic representations that capture the knowledge and behavior of a physical system. The role
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the Karolinska Neuroimmunology and Multiple Sclerosis (KNIMS) division which gathers around 40 researchers working on different aspects of the pathogenesis of Multiple Sclerosis (MS) and other neurodegenerative
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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
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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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Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering