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. • Contribute to the development of future grant applications. • Other activities as required. QUALIFICATIONS Required Qualifications • PhD completed within the last 5 years in Computer Science, Data Science
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: To support the development and evaluation of artificial intelligence models designed to improve communication accessibility for individuals with dysarthria. The successful candidate will contribute
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Mycobacterium tuberculosis), macrophage biology, host-directed therapies, antimicrobial drug development, wastewater surveillance, and cancer therapeutics. The successful candidate is expected to lead a project
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 26 days ago
Canada’s leading research-intensive university and a driver of the region’s intellectual, social and economic development. Located in the heart of Halifax, Nova Scotia, with an Agricultural Campus in Truro
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decision-making; Development of qualitative, quantitative, or mixed-method scenarios exploring future pathways for expansion of perennial agricultural features. Qualifications Required: PhD in a related
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of interest and implement pipelines to analyze the development of structural connectivity. The RA will report weekly on the project’s progress to the supervisor, monthly during lab meetings. The RA will write a
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multidisciplinary team integrating molecular biology, genomics, epigenomics, microbiome science, proteomics, and clinical research. The position will focus on the development and evaluation of low-input whole genome
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biology, genomics, epigenomics, microbiome science, proteomics, and clinical research. The position will focus on the development and evaluation of low-input whole genome sequencing and study of genotoxic
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development and foster a practical understanding of equity, diversity, and inclusivity (EDI) in the engineering, architecture, and urban planning professions. Our interdisciplinary E-IDEA team is motivated by
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research initiatives. The fellow will lead the development of multi-omics data integration, interactive visualization tools, and AI-assisted clinical decision support toolsfor gynecologic cancers. The fellow