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grant writing, especially further developing existing relationship with IPL Inc. and GF in targeting a Horizon Europe application. Qualifications: The candidate must have a PhD in the fields of materials
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approaches and tools, • Experience analyzing large-scale genomic data (including next-generation sequencing and/or genome-wide genotyping datasets), • Strong computer programming skills (R/Python preferred
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Zeighami PhD, Assistant Professor pf Psychiatry, Douglas Research Centre at McGill University to study the phenotypic variability of Parkinson’s disease using multi-modal datasets. Parkinson’s disease is
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partnership network and conduct resource availability and needs assessment, 2) design a biodiversity data strategy linking multiple sources of ecological, social, and economic information to support regular
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particular focus on synthesizing and harmonizing existing subnational data (including through stakeholder engagement) needed to better represent agriculture management practices, food processing, livestock
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data science. Candidates should have a strong background in computational analysis and quantitative methods applied to large-scale data in biomedicine and experience in scientific and financial
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of Biology Project title: CANBON pilot: data strategy, monitoring network design and partnerships - Establishing a Canadian Biodiversity Observation Network. Team: The research associate will work side-by-side
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execution of experiments, as well as analyze research data. The RA will also prepare manuscripts documenting the research and assist with grant preparation. The candidate will be supervised by Dr. David Rudko
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imaging and high content screening. More information about the ABIF can be found at: http://www.mcgill.ca/abif The primary duties will include: LLS operating: Be the key person for the LLS microscope (80
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-targeted analysis of chemical contaminants from plastics“. Non-targeted analysis, using high resolution mass spectrometry and advanced big data processing tools, allows for the rapid characterization