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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Data Mining and
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Experience with identifying or supporting new opportunities for corporate sponsorship and industry partnerships Background or strong interest in metabolic disease and/or immunology Familiarity with data mining
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assessment of materials using microbial communities Processing and analysis of high-throughput sequence data (DNA, RNA, community data, whole genome data, data mining) Data management for the division
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opportunity, beginning October 15, 2025 and focusing on 'A Global Synthesis of Socioecological Contexts of Artisanal and Small-scale Mining.' The position is meant to advance research on the multidimensional
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at the undergraduate and graduate level. Minimum Qualifications • The candidate should have completed their PhD in chemistry or a related field and have experience and interest in biotechnological production of natural
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highly efficient code bases. An interest or experience in working with imaging data. To be considered for this role, you must have: A PhD in Statistical Genetics, Machine Learning, Imaging Analysis, Human
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School of Mechanical and Mining Engineering - Faculty of EAIT Full-time, fixed-term position through to August 2027 Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation
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datasets (e.g. scRNA-seq) to derive prior knowledge on AML dormancy Develop and apply integrative data analysis pipelines (e.g. MOFA, Scriabin, LIANA+, COSMOS) for mining and interpreting multi-omic datasets
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research, risk prediction modeling, population and medical data linkage, geospatial data mining, multi-omics data integration, and artificial intelligence (AI) applications in health sciences, such as causal
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Environmental Science. The School is strategically positioned close to one of the world’s biodiversity hotspots and is surrounded by a wealth of agricultural, natural and mining resources About the opportunity