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designed to bridge the knowledge and validation gap in treating rare subtypes of hard-to-treat cancers on an individual basis, and deliver innovative, personalised treatments that will improve patient
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detection limits, providing complementary insights into the diverse scales and processes of atmospheric convection. Position Description: We seek a highly motivated Postdoctoral Researcher to: Analyze
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accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may
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analysis of PFAS. This task notably involves cutting-edge work on data processing. Simultaneously deploy targeted analysis quantification and non-targeted identification of PFAS in samples obtained from
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accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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: Post-Doc in the area of AI-based solutions for high-level decision-making for robotic systems. Development, testing and evaluation of the co-planner assistant for operation of harvester machine