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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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the ability to work quickly and accurately. High degree of computer literacy including familiarity with Microsoft Word, Excel, Teams. Ability to learn new software programs such as REDCAP. Organizational and
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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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of Surgery at McGill University anticipates hiring a postdoctoral research fellow starting as soon as possible for one year and renewable for a second year (pending availability of funds and satisfactory
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Houston. When you apply, we will facilitate the process to identify future postdoc positions that match your interests. If selected for PROS, you will meet with multiple faculty and trainees, connect with
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. Experience with total internal reflection fluorescence (TIRF) microscopy. Ability to perform image analysis and processing (e.g., ImageJ/Fiji) The following backgrounds are considered an asset or highly
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to the process and advancement of research innovation, academic discovery and public service.