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conservation biology. The selected candidate will lead qualitative and quantitative research on the benefits of field course design elements with the following goals: targeted recruitment, selection, and
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for the position of research assistant professor with a significant outreach component. Expectations of the position will be to develop an externally supported research program in agroforestry and contribute
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, next-generation sequence analysis, immunohistochemistry, fluorescence in situ hybridisation Experience in cancer model development and pre-clinical therapeutic trials Evidence of working with human or
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, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically
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to develop experimental protocols, measurement standards, and data analysis pipelines. Conduct literature reviews and contribute to the preparation of scientific manuscripts and conference presentations. Basic
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engineering. Preferred Qualifications: PhD in Chemical Engineering or closely related field. Extensive, hands-on experience with CFD analysis and modeling, including proficiency with leading CFD software tools
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analysis software and methods and willingness to learn new data analysis techniques and brain imaging methods are assets. This position is covered by the AMURE collective agreement: https://www.mcgill.ca/hr
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and disease risk factors Investigate new approaches in the analysis of large neurophysiological datasets We are seeking a highly motivated candidate with: A strong master’s degree in psychology
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longitudinal methods and cross-national data analysis to investigate the economic drivers and consequences of grey divorce. The project will explore how individual- and couple-level economic factors—such as
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instruments (e.g. Thermo Orbitrap technology). Experience in using (AP-)MALDI technique for analysis and imaging. Experience in LC/MS for targeted or untargeted studies is an asset Ability to execute research