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Field
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, whether building on established families such as LDPC, polar, and spatially-coupled codes or inventing entirely new ones. A key application of your work will be information reconciliation for quantum key
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, methylation, whole genome sequencing and single nucleotide polymorphism (SNP) and spatial data. This cancer is a rare disease that has not yet been documented and we believe that these data will be a major
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. Together, the team combines expertise in ecological networks, spatial ecology, conservation science, and biodiversity informatics. The position is available from 15 October 2026, or as agreed. About the
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assemblies to determine how spatial organization, cell–material interactions, mechanics, and molecular communication shape emergent behavior. Possible project elements include: Mammalian cell culture and
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. This research emphasizes improving prediction accuracy for renewable energy production (particularly solar and wind) through advanced machine learning techniques that capture spatial-temporal dependencies
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Matthias Schleuning (Senckenberg Biodiversity and Climate Research Centre, Germany), who will co-supervise the doctoral researcher. Together, the team combines expertise in ecological networks, spatial
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
of Bath and the soft X-ray imaging beamline, I08 SXM, at Diamond Light Source, giving you hands-on experience in material synthesis, carbon capture testing, and spatially-resolved X-ray imaging. Together
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. Design explanation methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence. Evaluate robustness and transfer to unseen datasets, content
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three Tasks: - “Task 1: Environmental pressures and impacts induced by raw materials”, consisting in a thorough review of existing spatially-explicit data on environmental pressures induced by raw
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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior