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Field
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from multiple departments. The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples
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develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis
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and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational background and interest in getting involved in
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, and use genetic screening approaches to characterise novel nuclear modifiers of disease progression. The focus of your work will be on studying how nuclear and mitochondrial DNA defects lead to tissue
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molecular characterization of astroblastoma tumors and developing human brain tissues. You will integrate bulk and single-cell -omics data to identify the molecular consequences of oncogenic fusion genes
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learning to understand and predict the behavior of cardiovascular tissues and organs across scales. You will work closely with PhD students, MSc students, and international VITAL partners. This is a full
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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. The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical studies. The main research areas include sensitization, immuno-oncology, and biomarkers. The modern
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal
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for analysing spatial omics and histology data from kidney tissue integrate imaging and molecular data to study how spatial patterns within tissue relate to graft health and disease work with clinical