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The candidate will develop and benchmark zero-shot multimodal fusion models for rare disease prediction, using melanoma as a use case. The project integrates spatial and single-cell multi-omics data with
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in
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. Your profile We are looking for a student with a solid experimental foundation in protein biochemistry, structural biology, or biophysics. The idea candidate has a curiosity for computational approaches
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and cost-effective AAV-based gene therapy. A key barrier in resolving this bottleneck is the limited understanding of AAV biology. For example, how host cells, helper viruses, and AAV gene products
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/maelfait-lab Research Project Nucleic acids are potent triggers of immune responses. The presence of virus-derived RNA or DNA molecules activates nucleic acid sensors inside the host cell, which stimulates
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Network bringing together leading groups in structural biology, chemical biology, computational biology, drug discovery, and cell biology. Doctoral candidates will benefit from: International secondments
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this hypothesis. Specific tasks for the PhD position are:Building on data obtained during previous PhD projects on the topic, you will use various molecular cell biological, biochemical, gene transfer
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17 Sep 2026 Job Information Organisation/Company KU LEUVEN Research Field Physics » Solid state physics Physics » Quantum mechanics Physics » Applied physics Researcher Profile First Stage
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willing to acquire this. You have a good knowledge of cell biology, molecular oncology, signal transduction, and immunology. You have experience with or an interest in 3D-cell culture models, patient
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material sciences, soft, living matter, or microbial biotechnology will be preferred Wet lab experience, including cell handling and/or culturing will be a plus Quantitative imagining, image analysis and