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to an international, interdisciplinary doctoral network. Excellent written and spoken English and strong scientific writing skills. Experience with EU biodiversity or sustainability policy, spatial modelling, social
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Aparicio lab (https://aparicio.molonc.ca ). Located at the BC Cancer Research Institute, within the Department of Basic and Translational Research; Molecular Oncology, our interdisciplinary team is
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cytometry, microscopy, bulk and single cell RNA-sequencing, spatial transcriptomics) to study the host response against Mtb infection using mouse models in a BSL3 facility. Perform basic bioinformatics
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photogrammetry now enable the digitisation of spatial environments across urban, natural and indoor settings. However, raw 3D observations generally remain largely unstructured and difficult to directly exploit
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mechanistically using an epithelial cell model. This interdisciplinary project provides training in developmental biology, bioinformatics, spatial transcriptomics, cell culture, imaging and molecular genetics
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, cellular, biochemical, and in vivo approaches. Perform cancer biology studies using cell lines, patient-derived models, and mouse models. Analyze and integrate molecular imaging, spatial transcriptomics, and
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experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning and
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cloud-based geospatial analysis. Spatial visualization, mapping applications, and predictive ecological modeling. Applicants must possess a valid U.S. driver's license (or obtain one within 60 days
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project focused on urban biodiversity modelling and spatial ecology in Singapore. Key Responsibilities: The Research Assistant/Associate will contribute to the development of species distribution models
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treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org/) at the Medical Faculty, University of Helsinki, is seeking a bioinformatician or a computer scientist with strong