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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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. 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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requires processing of precious samples for which high degree of accuracy and precision is required. Strong communication skills will be required to document results, write protocols, present at lab meetings
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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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the interplay between neuromodulatory systems and cortical processing during foraging behavior. Project Overview: The successful candidate will lead a project investigating the neuronal processes supporting
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with advanced tissue processing tools, and a 10X genomics platform for single-cell and bulk RNA sequencing. The place also offers numerous collaborative opportunities. More info: https://www.mun.ca
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to the process and advancement of research innovation, academic discovery and public service.