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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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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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combined with dispersion modelling and/or satellite data) to improve spatial concentration maps; preparation and publication of scientific papers and scenario study reports; occasional support of fieldwork
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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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, 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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–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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editing, mouse modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image processing and analysis, amongst a variety of other specific
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and chemical oceanography and the intersection of these disciplines. Potential research lines could focus on spatial and/or temporal aspects of e.g. ocean carbon cycling, physical oceanography, ocean
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A crystal in space represents a distinct state of matter, with spatial periodicity in its lattice structure underpinning its band structure and optical properties. This project concerns time
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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