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the scholarship Canada Impact+ Research Training Awards PHD title: PhD in Chemical Engineering or PhD in Biotechnological Engineering PHD Country: Canada Where to apply Website https://www.abg.asso.fr/fr
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of disciplines, cultures, and academic backgrounds is essential. The candidate must hold a PhD in Engineering (Civil or Environmental), Environmental Sciences, Environmental Biology, Applied
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qualifications: PhD in physics or engineering, specializing in the development and use of ultrafast laser technologies and associated spectroscopy techniques. Experience with frequency stabilization of femtosecond
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assistants in experimental or analytical workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial
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analysis. Work on the engineering and functional assessment of synthetic or ex vivo thymic environments to control immune output from stem cell-derived precursors. Explore immune rejuvenation strategies
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
. Chester Upham’s supervision. The candidate should have a PhD in Chemical Engineering, Chemistry, Mechanical Engineering, Materials Engineering or a related field. The fellowship will be for a one-year
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internationally. PROFILE AND JOB REQUIREMENTS The candidate will meet the following requirements: Hold a PhD in engineering or equivalent in a relevant field; Have a proven track record of developing and conducting
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Associate Professor, Tenured Canada Impact+ Research Chair, Human Mobility and Wearable Technologies
integrates biomechanics, neuroscience, artificial intelligence (AI), and engineering to design the next generation of wearable technologies—such as robotic exoskeletons and intelligent prostheses—that adapt
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on Indigenous Knowledge Systems. https://abundant-intelligences.net/ . The Toronto pod is comprised of faculty from OCAD University and York University in close partnership with collaborating institutions
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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