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of epigenetic regulators in regulating therapy resistance. Utilize molecular, cellular, and biochemical techniques including CRISPR, scRNA-seq and spatial transcriptomics, flow cytometry, and 3D tumor modeling
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Role Description Department We are seeking an experienced mathematical modeller. Our group is developing a range of advanced genetics-based methods for controlling mosquito-borne diseases, based
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mouse models. Utilize advanced technologies such as CRISPR/Cas9 gene editing, single-cell RNA- and ATAC- sequencing, single-cell spatial transcriptomics, and multiplex fluorescence imaging. Collaborate
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biologically-constrained machine learning–based model discovery pipelines to derive interpretable surrogate ODE/PDE models from simulated ABM data and spatial-omics data collected from state-of-the-art
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an internationally renowned INSERM Unit. The candidate must appreciate teamwork, have good interpersonal skills and be rigorous and organized in his/her work. Experience in molecular/cellular biology and murine models
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skills and be rigorous and organized in his/her work. Experience in molecular/cellular biology and murine models is required. Experience in omic approaches,single cell RNA-seq technologies, spatial
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innovation facility represents a new form of collaboration between universities and industry in the healthcare domain. Fortunately, there are many models for such facilities that exist in many places and which
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity
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optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces, including 3D modelling