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execution of Methods Think Tank sessions and working groups, including structured discussions on novel trial designs and implementation science approaches Qualifications: PhD in a health-related discipline
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 22 days ago
design an optical system that can be easily built and used by non-expert users. The applicant will work closely with the inventors of RAP technology and a group of academic and industry collaborators
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: - Research on the GaN-catalyzed reactions with light - Assist with writing papers, proposals, and patents - Assist with the supervision of graduate students Qualifications: PhD in Chemistry Before applying
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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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identifying avenues to escape these traps. Qualifications: The successful candidate will have:-A PhD by the time they begin the position.-A background in group concept/interrelationship mapping and/or network
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: - To lead the computational part of a collaborative project on AI-assisted design of OPVs - To become knowledgeable in the field of OPVs and the relevant simulations - To learn relevant machine learning
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is competitive and commeasurable with the experience and qualification. Due to the proprietary data story and strict confidentiality, the post-doc has to work in-person at the designated location
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with collaborators through regular field and/or video-conference meetings.QUALIFICATIONS•Minimum qualifications are a PhD degree that is focused on forest ecology, wildfire ecology, silviculture
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teams within uOttawa’s growing neuroscience community. Qualifications: PhD in neuroscience or a related field. Experience with molecular biology, RNAseq, and mouse behavior Experience with coding is an
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Minimum Qualifications - PhD in ecology, remote sensing, environmental sciences, or a related field - Strong quantitative skills, including ecological data analysis, statistical analysis and data management