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Koplev lab is recruiting an outstanding and ambitious postdoctoral researcher in computational biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will
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Research Foundation), the Research Group Functional Architecture of Memory (FAM) at the Leibniz Institute for Neurobiology in Magdeburg (Germany; PI Magdalena Sauvage) is seeking a highly motivated PhD
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–vascular interactions, and spatial transcriptomic modeling. About McGill and Montreal Montreal is one of North America’s leading centres for research and innovation, home to world-class institutions such as
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, developing spatial statistical models, and translating results into actionable insights for policy and adaptation. The strength of the project lies in its interdisciplinarity, combining atmospheric science
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Modelling Tumour Dynamics and Radiotherapy Response: Towards Sustainable and Energy-Efficient Cancer Treatments A PhD position is available in the Department of Physics at the Universitat Autònoma de
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of Sustainability and Planning https://vbn.aau.dk/en/persons/jja This position is specificallyaboutmodellingcascading and compound impacts of climatechange on future Danish land use in which spatial data analytics
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a post-doctoral researcher to join WP2 on the AI4MAP project, primarily focusing on developing adaptive sampling and spatial modelling strategies. The work will concentrate on designing and
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://past2future.org ) with 24 partners. It has recently been funded by the EU horizon program. The aim of the position’s subproject here is to use latest spatially downscaled climate model results for the past (mainly
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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
with transformer-based architectures. Then, a novel embedding technique will be designed to map high-dimensional wireless network parameters into a compact vector space modelling, where temporal, spatial