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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how
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. The post holder will work with the Bakshi Lab's single-cell phage infection platform (https://www.bakshilab.net/ ) and an interdisciplinary team spanning microbiology, engineering and quantitative
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, through optical methods, FRET, microfluidics, microfabrication and surface biofunctionalization. 2. Main responsibilities The candidate will have the following responsibilities: i) carries out scientific
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of biologists and engineers to leverage in vitro organ-on-a-chip (Organ Chip) microfluidic culture systems to study and model and compare adaptive immunity and radiation toxicity in non-human primate and humans
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or microfluidic devices. Familiarity with workflow managers (Nextflow, Snakemake), containers (Docker, Singularity) and high-performance computing environments. Interest in AI-assisted experimental design, self
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CoE (https://www.med.uio.no/hth/english/ ) is inviting applications for a three‑year PhD position. The recruited candidate will take part in UiO Emerging Technologies Initiative Project FTI-NAM. NAM
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interdisciplinary team of biologists and engineers to leverage in vitro organ-on-a-chip (Organ Chip) microfluidic culture systems and injectable formulations to study and model adaptive immunity in female
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, focusing on personalized monitoring, diagnostics, and treatment. Relevant expertise includes wearable sensors, organoids, microfluidics, advanced imaging, biomedical microsystems, and AI-based analytics
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consortium (academia, clinics, and industry). Interdisciplinary skillset: from CRISPR/iPSC gene editing and single-cell transcriptomics to microfluidics, proteomics, and translational validation in human
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
skilled at mammalian cell culture; microfluidic device fabrication and implementation; designing experimental protocols; identifying the necessary resources; acquiring, processing, and interpreting data