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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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data collection and analysis for publication in peer-reviewed journals. The position will also include mentoring of undergraduate students. Qualifications: Research publications, grant writing
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to understand the needs, experiences and challenges of people with rare musculosleketal conditions. Conduct quantitative analysis on functional outcomes for descriptive and modelling purposes. Partner with
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Experience with basic molecular biology (DNA, RNA, protein work) is essential. Mammalian tissue culture, and analysis techniques such as western blotting, qPCR, Flow Cytometry, Agilent Bioanalyzer usage, qPCR
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this will include: Demonstrated expertise in data analysis and simulation Familiarity with C++; and proficiency in the use of ROOT and Geant4, and interest in machine learning techniques Knowledge
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 2 months ago
The multidisciplinary Blom Research Group, Faculty of Medicine, Lund University, is searching for two passionate and skilled postdoctoral fellows to join our groundbreaking work on 1. cancer
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Pacific Institute for the Mathematical Sciences | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
years, depending on start date and available funding. The position will be hosted at Simon Fraser University, focusing on the mathematical analysis and development of novel structure-preserving
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(with possibility of extension) Hours of work per week: 36.25 Position type: Post-Doctoral Fellow Rate of pay: $55,000 per annum plus benefits About Toronto Metropolitan University (formerly Ryerson
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(with possibility of extension) Hours of work per week: 36.25 Position type: Post-Doctoral Fellow Rate of pay: $55,000 per annum plus benefits About Toronto Metropolitan University (formerly Ryerson
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related field. Proficiency in one or more of the following: in vivo electrophysiology, two-photon imaging, animal surgery, behavioral design, programming languages (Python/MATLAB), and data analysis