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Field
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integrating multi-omics (single-cell RNA- and ATAC-seq, spatial transcriptomics) and genetics to understand the biology of human aging, with a focus on neurodegenerative diseases and personalized medicine. Job
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will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute
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is to combine ultra-high-precision spatial localization, reduced acquisition times, and access to key photophysical parameters enabling characterization of the local environment of fluorophores
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Spatial Sciences is looking to appoint a postdoctoral researcher on the
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, you will: Contribute to defining metrics and indicators across spatial (schoolyard, street, neighborhood, city) and temporal (daily, weekly, seasonal) scales, combining sensor-based data with human
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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cytometry, MACS and FACS, and confocal/immunofluorescence imaging of normal and leukemic hematopoietic cells and tissues. • Prepare samples and libraries for single-cell RNA-seq, spatial transcriptomics, and
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the development of bespoke solutions for cancer imaging based on spatial analysis and kinetic modelling techniques. This strand would involve adapting in-house models for Positron Emission Tomography data to other
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place in countries of the Global South and North, as well as the processes of protection, transmission and sharing. Its analysis, conducted across various temporal and spatial scales, prioritises
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of optics or imaging: Fluroescent microscropy Two-photon imaging or stimulation Holography using Spatial Light Modulators Fluorecent lifetime imaging Femtosecond lasers Familiarity with neuroscience