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, the resulting discoveries often remain fragmented and disconnected. Our programme seeks to bridge these gaps through scale-crossing, multimodal spatial interrogation of human cells and tissues in three dimensions
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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets
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Lawrence Berkeley National Lab’s (LBNL ) Advanced Light Source (ALS ) Division has an opening for a Spatially Resolved Soft X-ray Reflectometry Postdoctoral Fellow. The employee will collaborate
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models. · Experience with bioinformatics, single-cell sequencing analysis, spatial biology, or computational data analysis is desirable but not required. · Proven scientific productivity
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) Center of Excellence Research Participation Program offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal
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A: $87,266 - $118,416 AUD p.a. plus 17% super Join our interdisciplinary team and shape the future of endometrial biology and diagnostics through advanced spatial genomics. International collaboration
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analysing sequencing data, including single-cell RNA-seq and preferably spatial transcriptomics workflows. Use R and/or Python for high-dimensional statistical modelling with tools such as Seurat, Scanpy
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offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent, and sub-daily
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), one of Canada's leading neuroscience research centres. The successful candidate will develop next-generation human experimental models to investigate the cellular and molecular mechanisms underlying
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spatial and temporal resolution. Build a system modeling framework to evaluate the deliverability of large-load projects, including interconnection, capacity, and infrastructure constraints. Design, build