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Field
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in colorectal cancer. You will be responsible for developing spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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spatial network metrics. Strong quantitative skills, with experience in clustering analysis, data visualization, and statistical modelling. A research background in health-related topics. Demonstrated
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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks
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. The Ravnskjaer lab is headed by Assoc. Prof. Kim Ravnskjaer and focuses on cellular crosstalk in the regulation of liver function in health and disease. For this we apply single cell- and spatially resolved
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single-cell and spatial transcriptomics, whole-genome sequencing, high-throughput screening, CRISPR-based functional screening, and patient-derived organoid models. You will work closely with in-house
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discipline. Expertise in one of the following areas: Single-cell and spatial transcriptomics, whole genome sequencing, proteomics, organoid modelling, CRISPR screening Liver biology, developmental biology, or
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, such as spatial modeling and analysis, transport and port environments, health and risks, Information and Communication Technologies (ICT), and socio-territorial restructuring. Its identity is associated
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- Conduct remote sensing analyses and spatial modeling of grassland ecosystems - Supervise water sampling and organize field logistics in collaboration with students and partners - Integrate ecological data
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3 Sep 2025 Job Information Organisation/Company Nantes Université Department LS2N Research Field Computer science » 3 D modelling Researcher Profile Recognised Researcher (R2) Positions Postdoc