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across different spatial and temporal scales, from building-level energy demand to district-scale interactions and their integration with wider energy networks. PhD Position in Hierarchical Graph Neural
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. By elucidating and quantifying the underlying processes in temporally and spatially resolved radiotracer studies (particularly regarding the adsorption and desorption kinetics on sheet silicates), you
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balance. We particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about/equality/ Our
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, Special Issue No. 113, 256–260. https://doi.org/10.2112/JCR-SI113-051.1 Kudryavtseva, N., Soomere, T., 2017. Satellite altimetry reveals spatial patterns of variations in the Baltic Sea wave climate. Earth
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aggregation, mitochondrial dysfunction, and synaptic loss. We will employ among others, spatial transcriptomics, epigenomic profiling, and multielectrode array (MEA) recordings, providing a foundation for in
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beyond descriptive genomics to decipher the underlying regulatory logic of GBM. By leveraging single-cell multi-omics (scATAC-seq, scRNA-seq) and spatial omics, you will map enhancer landscapes
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our team and lead the development and application of cutting-edge spatial omics technologies, integrating expertise from our different core facilities. This role will be central to building and
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 16 days ago
Description This project enhances Earth observation data cubes by improving two key processes: image coregistration and fuzzy classification. Accurate data cubes require precise spatial alignment and reliable