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arboviruses (e.g. dengue, zika), where we investigate how host-virus dynamics affect outcomes in different tissues. By combining computational systems biology with rigorous experimental virology, we transform
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collaborative environment. Essential criteria: 1. a PhD or Masters degree in bioinformatics, computer science, physics, mathematics or a related discipline, OR an undergraduate degree in computer science
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-throughput and AI-driven antifungal discovery fungal symbiosis an& pathogenicity fungal metabolites, epigenetics & microbiome structuring computational microbiomics & systems biology of fungal infections
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-world computational biology workflows at the CHC. We offer you: A unique opportunity to shape the next generation of agentic AI tools for biomedical research. A highly interdisciplinary environment
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, United Kingdom Supervisor: Dr. Ivana Savic Focus: computational materials modelling Background: physics, computational materials science. or a closely related discipline Apply: https://mgician.eu/research/doctoral
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Description: The Medical University of Vienna is recruiting for up to 24 fully funded PhD positions across 18 interdisciplinary PhD programs. Research spans translational basic and clinical science
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The Chief Architect- Centre of Excellence(CoE) for Spatial Computing (AR/VR/XR) will pioneer DSU’s vision for the Industrial Metaverse, leading research and platform development in extended reality
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as soon as possible (fixed-term, 5 years). A nationally and internationally established scientist from the fields of medical informatics, bioinformatics, computer science, computational life sciences
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dedicated learning opportunities. What you'll bring Essential A Ph.D. in Computer Science, Physics, Engineering, Biology, or related fields. Experience with machine learning. Experience with scientific python