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insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
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, network analysis, and mathematical modelling — with opportunities to pursue independent research. Curious to learn more? Read further to discover more about this opportunity. The team The successful
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, and/or population health. The fellow will engage in ongoing research projects while receiving individualized mentorship in research design, data analysis, scientific writing, grantsmanship, community
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degree (120 ECTS) or equivalent in Electrical Engineering, Renewable Energy, or a related discipline (final‑semester candidates may apply). Experience with scientific programming and data analysis
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, GIS route reconstructions, network analysis, computer-vision work on archival photographs). Collaborating with the inaugural team and the PI, including shared work on Cluster 4, and participating in
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
candidate may co-develop research grant applications directly aligned with the lab’s research agenda, strengthen their professional network through collaborations with public, private, and not-for-profit
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integration, low-voltage distribution-network modelling, optimisation-based power flow analysis, and standards development, producing impactful publications, open-source code, and datasets. Supervision and
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and networking technologies. Key Responsibilities: As an integral part of the project, the Research Fellow is expected to: Design PIC components and integrate SNSPDs with photonic integrated circuits
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on participation in animal study design, preparation, and execution. Post-collection processing and analysis of animal specimens may also be performed through laboratory assays (e.g. nucleic acid extractions, RT
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mining Experience in one or more of the following is considered an advantage: network analysis, graph methods, knowledge representation or ontologies; mechanistic, causal or dynamic modelling of biological