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ACOSS, INSEE and individual company data available on the CASD. The data will then be analysed using spatial econometric models and techniques, and the results will be interpreted in the light of
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fair access to opportunities (employment, healthcare services, education) and mitigating spatial inequalities; - develop (deep) learning models for spatial structures and dynamic graphs to support the
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histological analysis (RNA-seq and spatial transcriptomics a plus). * Surgical Mastery (Critical): Substantial experience and strong proficiency in rodent stroke models (tMCAO/pMCAO), including stereotaxic
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systems. The candidate will be responsible for processing repeat pass inSAR data and implementing efficient data calibration algorithms based on heterogeneous spatial sampling of ground truth points
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familiarity with the experimental techniques are encouraged to apply, especially those with expertise in crystallography and structure solution. References: Vu, T. H. et al. “Spatial Distribution of Glycine and
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Spot, and making use of HST's high spatial resolution in the near-UV and visible range are also appropriate. Collaboration will involve interaction with all three members of the OPAL team: Amy Simon (PI
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experiments.Collaboratewith computational biologists to integrate CRISPR screens with transcriptomic, epigenomic, and spatial datasets.Contribute experimental insight to the development and maintenance of analysis
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experiments. Collaboratewith computational biologists to integrate CRISPR screens with transcriptomic, epigenomic, and spatial datasets. Contribute experimental insight to the development and maintenance
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spatial data expert, ensuring data quality, workflow consistency, and contributing to publication and reporting outputs. Where to apply Website https://seuelectronica.upc.edu/ca/tramits-en-elaboracio
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with methods for preparing biological material for scRNA-seq, spatial transcriptomics, and mass spectrometry-based proteomics; familiarity with ex vivo models used in cancer biology research, including