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team as a post-doctoral fellow. The candidate will focus on establishing computational infrastructure for analysing complex and multimodal microbiome data. The candidate will be working closely with
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include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern technology. Moreover, the close connection with the clinical environment
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Minimum Qualifications - PhD in ecology, remote sensing, environmental sciences, or a related field - Strong quantitative skills, including ecological data analysis, statistical analysis and data management
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sources using tailored semiconductor nanoelectronic devices. Quantum light sources play a pivotal role in quantum information processing, quantum communication, and quantum sensing applications. By
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risk while maintaining critical forest ecosystem services such timber, biodiversity, and wildlife habitat. The project will leverage data and infrastructure from the operational-scale Adaptive
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 10 days ago
approaches, our overarching goal is to tackle two urgent and timely issues: 1. Survival under Heat Stress: Investigating how different organisms man age mRNA regulation to adapt and survive in the face of
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 23 days ago
on the tumor microenvironment. Previous experience of state-of-the-art cell and tumor biology methodologies, tissue analysis with histopathological techniques, and work with genetically engineered mouse models
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statistical modeling approaches. Support the integration of implementation science methods to improve the translation of research findings into clinical practice. Assist in the development of guidelines and
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imaging techniques to monitor neural activity in cortical and/or subcortical regions Analyze data from molecular, genetic, and behavioral experiments. Collaborate with lab members and interdisciplinary
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participating in the collaborative development of: (1) spatially explicit baseline data of cropping practices, including identification of representative crop rotations, and (2) spatially explicit baseline