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Skills & Qualifications: Advanced confocal microscopy - multi-dimension and live imaging Advanced quantitative imaging analysis (ImageJ/Fiji, CellProfiler, QuPath, JMP) and development of custom analysis
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hardware and LIMS database knowledge and comfort navigating this database will contribute to your success. The incumbent will be appointed as a Special Constable pursuant to The Police Act, 1990
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that confer this unique privileged status upon the digit tip. The Research Associate will use single cell spatial transcriptomics, genetic mouse models, and cutting-edge imaging technologies to pursue this work
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other and other image and motion capture processes. Summary of Responsibilities: Oversee access to assigned studios for program students, cross-disciplinary students, graduate students, faculty
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 13 days ago
or Sessional Lecturer III in accordance with 14:12. Application Process Applications must be submitted electronically, with a cover letter outlining your qualifications and a current curriculum vitae to
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 16 hours ago
, including microscope operation, image acquisition, sample handling, and troubleshooting. Participates in the operation and maintenance of the Electron Microscopy Facility, including equipment monitoring
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involves acquisition of behavioural and MRI brain imaging data in Toronto from older adults participating in a personalized intervention to lower the risk of dementia. The primary objective of the position
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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a part-time Research Assistant to take
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year of continuous service. Reporting to the Director, SIS & Process Optimization and working with dynamic, innovative, cross-functional teams, the Business Systems Analyst leads collaborative systems
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imaging modalities · Strong proficiency in Python for scientific computing, including experience with machine learning and image processing libraries such as PyTorch, TensorFlow, NumPy, SciPy, or OpenCV