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Field
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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on the specific questions addressed, approaches may include mammalian cell culture, molecular and cell biology, genetic perturbation, imaging, epigenetic and chromatin profiling, and in vivo models of early
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to fundamentally transform our understanding of how media shape adolescents' gender beliefs, body image, sexuality, and mental health. GENSCOPE recognizes that adolescents simultaneously navigate diverse, and often
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. This interdisciplinary approach relies on the complementary expertise of S. Giordano (IEMN), who will develop a multiscale mathematical model of the multicellular system, and F. Anquez (PhLAM), who will lead the imaging
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and/or single-cell nucleosome, methylation and transcriptome sequencing. The workflow will be adapted to 3D light-sheet microscopy and thick melanoma samples, addressing challenges linked to image
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to novel personalized strategies of particles de-sign for drug delivery, imaging or diagnosis. This PhD project will develop stimuli-responsive nanozyme coatings for personalized medical implants. Nanozymes
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entitled “Imaging using Quantum Optical Coherence Tomography” Where to apply E-mail [email protected] Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Skills
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mammalian cell lines and primary cell cultures. Perform confocal imaging and data interpretation. Analyze experimental data using statistical software and prepare research reports. Manage laboratory resources
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culture, protein work, microscopy) and relevant area(s) A strong interest in oncology, tumour biology, pancreatic cancer, cell biology, molecular mechanisms, imaging A willingness to work with animal models