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or fragments). Practical experience of complex tissue analysis using multistaining techniques and image analysis. Practical experience of analysis of spatial proteomics and/or transcriptomics data. Experience
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, xenograft models, brain tumor biology, confocal imaging, immunofluorescence and/or FISH and/or computational analysis of scRNAseq/RNAseq/spatial transcriptomics Background in brain tumor biology Knowledge
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are also required: at least one course in Programming at least one 2nd cycle course in one of: Stochastic processes, Machine learning, Time-series analysis, Spatial statistics, Spectral analysis
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their spatial patterns in varying environmental conditions. The successful candidate will integrate to the research unit « Microbial Oceanography - LOMIC : http://lomic.obs-banyuls.fr » in Banyuls sur mer, and
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enamel, dental mesowear, mandibular morphometry, dental microwear textures) and GIS spatial analysis to explore their ecologies and identify the impact of structuring territorial features. The results will
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experiments, data analysis, and animal colony management. Beyond technical support, the successful candidate will be an essential part of daily lab functionality and will be mentored to design and lead
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maintain algorithms in biomedical image analysis pipelines. Validate algorithm performance on novel datasets. Analyze spatial transcriptomic data. Perform statistical analyses on data extracted form bio
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tissue using genetic mouse models, functional screens, and single cell and spatial omics technologies. More details about the laboratory: https://www.ibt.cas.cz/en/research-laboratories/laboratory
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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance
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for spatial design, mission analysis and other related tools (GMAT/STK/360TM, CATIA...) is an asset. Specific Requirements Titulación Académica: Ingeniería Aeroespacial (Titulación Universitaria