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, such as a familiarity with data analysis software (e.g., Python, IDL, MATLAB, FORTRAN) Prototype algorithms, validate outputs, and document methods clearly Qualified and interested applications are invited
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: Designing and engineering nanostructures using computational methods Cconducting experiments to assemble and characterize DNA-scaffolded protein mimics Preparing manuscript for research articles Writing grant
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external collaborators. Keep abreast of any new technical developments in the field and new software packages. Qualifications: PhD in molecular biology, computational biology, health sciences or related
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Position Summary: Proposed project title: “Targeted & Non-targeted analysis of PFAS in food packaging“. Develop and apply liquid chromatography (LC) methods coupled with high-resolution mass spectrometry
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harmonize different data streams. Lead and co-author manuscripts, reports, and presentations. Collaborate with interdisciplinary and international research partners. Qualifications PhD (completed or near
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on reporting portion sizes Responsible for study follow-up activities Responsible for data management using ASA24 and ESHA software Analyze dietary date and estimate nutrient intakes using ASA24 and ESHA
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Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where
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: - Independent research with frequent meetings to assess progress - Mentoring graduate and undergraduate students - Conference presentations - Manuscript/grant application writing Qualifications: PhD in Chemistry
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multimodal data (video, self-report, physiological sensors, automatic facial recognition software) that examines CER in multiple contrasting contexts. And (3) Advance educational theory and practice by
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis