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to the vacant position: The Spatial Biotechnology Group is seeking a motivated and skilled Postdoctoral Researcher with expertise in computational biology and data science to join our team. This position offers
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the social and environmental implications of proximity models, combining spatial, mobility and socioeconomic data to develop indicators and tools for the toolkit. The candidate will also assume coordination
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oriented towards sustainable mobility (superblocks, cycle lanes, low emission zones and other proximity policies). The analysis will combine electoral data at a very disaggregated scale with spatial
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-optic sensing and navigable audio capture and reproduction. Proven experience in Audio signal processing and spatial audio Proven experience in machine learning and deep learning Proven experience in
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, using humanized in vitro models and chimeric AD mice. The candidate will work closely with experts in bioinformatics & spatial omics. It is a full-time position, starting the 1st January 2026. Additional
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encompasses various in silico modeling techniques to cover the multiple spatial scales, i.e. from molecular detailed to multicellular high-level regulatory networks, up to tissue level finite element models
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researchcenter dedicated to conduct research and drive innovation in the epidemiological, preventive, clinical, translational, and basic aspects of leukaemia and other hematologic malignancies, with the final aim
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to develop an innovative, non-invasive strategy to focus light deep within biological tissues and other scattering media, achieving high penetration depth and speed while preserving micrometric spatial
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the AeRobiology package) and epidemiology. Leadership abilities and empathy, strategic vison, communication skills at a scientific and dissemination level and interest in Citizen Science will be appreciated