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astronomy community. NRC-Herzberg has a rare combination of staff involved in astronomy research, instrumentation design and development, engineering, data science and observatory support. This fellowship is
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liaise with Siemens Healthcare Limited partner personnel, as well as a multidisciplinary team of imaging scientists, engineers, MRI technologists, physicians, undergraduate and graduate trainees, and
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
Work Performed Projects will be tailored to the successful applicant's scientific interests and career goals. Current areas of research include: Engineering next-generation Tregs using synthetic
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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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fundamental to our institutional culture. Our current academic plan outlines each as core values and we work to embed them in all that we do. Toronto Metropolitan University welcomes those who have
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populations, galaxy evolution, supermassive black holes and high redshift galaxies. Current and future ground- and space-based facilities from the UV to radio are represented in our instrument development
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fellow will join a team composed of data scientists, software engineers, and medical trainees. This position is anticipated to be partly funded through a Mitacs Elevate grant. Project Context SOZO
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the world. WORK PERFORMED Projects will be tailored to the successful applicant's scientific interests and career goals. Current areas of research include: Engineering next-generation Tregs using
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for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Interest or experience integrating social and ecological data is an asset Communications & Collaboration : A record of independent research
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or