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biology, simulation, data visualisation, bulk / single-cell / spatial RNA-sequencing analysis. Skills Terms programming; R; Python; Statistical methods; machine learning; differential expression; bulk
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stimulating multidisciplinary research environment focused on regulatory mechanisms that enable cells to retain their identity.We employ Drosophila and human cell culture models, genomics, genetics and
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key job purpose is to support a research project titled: Ultrasonic Diagnosis for cell SOH grading. Key
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developed as diagnostic tools or therapeutics for cancer. The successful candidate will plan and conduct cell-based studies, establish and optimise experimental models, perform and analyse microscopy and
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of Copenhagen. For more information on the Department of Biomedical Sciences and the Lubberding group, visit https://bmi.ku.dk/english/ and https://bmi.ku.dk/english/research-divisions/integrative-circulation
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annotation Preferred tools: BWA-MEM2, Mutect2, VEP Detection and interpretation of structural and copy-number alterations (CNVs and gene fusions) Recommended tools: FACETS, ABRA, or other equivalents
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— investigating how mechanical forces from focused ultrasound alter immune cell function and tumor microenvironments Acoustic tool development — designing next-generation transducers, wearable ultrasound devices
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intracellular bacterial pathogen Chlamydia trachomatis maintains its intracellular niche and modulates host cell biology. The employment is full-time for two years with access on 1 Nov, 2026 or by agreement
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towards a sustainable future. Subject description This project focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs
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are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words