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equipment, including accurate inventory records and supply management. • Maintains and organizes the database/library containing course materials such as videos, audio recordings, images, and presentations
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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: Department of Biology (Professor Rodrigo Reyes) Position Summary: Assists in the interpretation of research data, and dissemination of results. Analyzes images obtained by other lab members. Codes for image
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and monitoring bioluminescent cells using In Vivo Imaging System (IVIS) Molecular biology techniques including immunofluorescence and confocal microscopy, intracellular and cell surface flow cytometry
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de recherche du Québec - Santé (FRQS). Position summary The prehabilitation program aims to prepare the surgical patients to overcome the stress of surgery. Under the supervision of the Principal
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 7 days ago
on interdisciplinary work, the position will involve supporting the Advanced BioImaging Facility (ABIF) imaging scientists in general facility operations, microscope maintenance, one-on-one training
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: The Undergraduate Research Assistant participates in a research project under the supervision of the Research Supervisor to work on labor intensive analysis of MRI images. Qualifications: Active McGill students
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Primary Purpose: The Agronomic Crop Imaging Lab (ACI Lab), University of Saskatchewan invites applications for a three-year postdoctoral fellowship (PDF) under its Research Grant Programs
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on interdisciplinary work, the position will involve supporting the Advanced BioImaging Facility (ABIF) imaging scientists in general facility operations, microscope maintenance, one-on-one training
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learning with advanced algorithms such as Alphafold3 for molecule processing and foundation models for image processing. Designs and develops machine learning computer models (i.e. algorithms) for medical