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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 days ago
submission process requires application to Dalhousie University (see details below) by April 19, 2026. Impact+ Strategic Priorities Canada Impact+ Research Chairs are awarded in areas identified by
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, science, engineering, and mathematics applications used in computational computing environments. Supports management, tuning, operating systems, parallel file systems, automating deployment of compute nodes
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stewardship. In parallel, the role supports the development, implementation, and ongoing maintenance of CBA?s data framework, visualization platforms, and Salesforce environment, maintaining accurate
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diagnostic protocols. (50%) Performs complex molecular diagnostic techniques and demonstrates competency with pipetting and PCR techniques. (5%) Performs computer data entry, recall, accessioning, receiving
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, high-speed parallel processing of powdered feedstock benefits from precise control over material microstructure and offers improved part functionality in a wide range of applications. Students will have
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the portal will be considered. A background check may be conducted as part of the application process. Application deadline: May 1, 2026 Parallel to this recruitment process, Chalmers may propose to nominate
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the case of challenging environmental conditions, the method of multi-scale parallel single-pixel imaging has the potential to enable breakthrough advances. The “image processing and AI” group contributes
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posts are designed for career development, and the successful candidate will undertake a PhD in parallel with their teaching and research support.You will be part of a large, vibrant, highly collaborative
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research teams. Preferred Qualifications Experience with commercial and/or open-source GIS tools and technologies. Experience in parallel computing (e.g., MPI, Spark) and/or cloud computing (e.g., AWS