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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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Applications are invited for a two-year postdoctoral fellowship supported by the collaborative research and training program Pacific Rim Ocean Data Mobilization and Technology (PRODIGY) and the Canadian Pacific Robotic Ocean Observing Facility (C-PROOF). The successful candidate will join the...
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The Naveen Jindal Young Global Research Fellowship Programme is a prestigious, fully funded initiative that offers a unique one-year experience, comprising an eleven-month online component and a one
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transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful candidate will report to the Principal
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networks and performing GRN inference, Single-cell RNA-seq, perturb-seq, and/or other transcriptomic analysis, Next generation sequencing and bioinformatics analysis, Machine learning/AI; making, evaluating
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are required to indicate how they will account for sex (biological factor) and gender (socio-cultural factor) in the research design, methods, analysis and interpretation, and dissemination of findings. For more
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/substrate complex 3-dimensional structures in collaboration. Produce and purify functional recombinant proteins Assemble, purify and analyse the respective protein complexes Assist in the analysis
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on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected to develop deep learning models for analyzing whole-slide histopathology
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analysis pipelines (e.g., Seurat, Scanpy, ArchR). Prior exposure to high-throughput screening or pooled genetic perturbation methods. What we offer A supportive and collaborative research environment within
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synthesis projects to inform the development of clinical guidelines for safely deprescribing medications. Another focus will be conducting quantitative analysis of large health datasets related to reducing