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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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: Current Students in an Undergraduate Program, Current Students in a Master’s Program, Current Students in a PhD Program. Cover letters are mandatory. Please submit it along with your resume. At UBC, we
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candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include
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for this position are as follows: PhD in Forest Ecology, Entomology, or a closely related field, with a focus on geospatial modeling, invasive species dynamics, and applied machine learning for pest risk assessment
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Excellent organizational, communication, and teamwork skills Experience with dynamic causal modelling (DCM), machine learning or related computational approaches are an asset Roles and Responsibilities
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
Mississauga (UTM) invites applications for a full-time tenure stream appointment in the areas of Machine Learning, Applied and Theoretical Statistics. The appointment will be at the rank of Assistant Professor
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of Professor, with an anticipated start date of July 1, 2026. We seek candidates conducting research on climate data science that draws together observations, models, and machine learning. Candidates must have a
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Experience with designing and delivering data science courses and professional development programs at a post-secondary institution (e.g., programming, data analysis, data visualization, machine learning
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rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs
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of extensions subject to work performance and funding availability. The Boer lab is a mixed computational/experimental group studying gene regulation using synthetic genomics and machine learning with the aim