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. Experience in experimental design and method optimization. Experience with proposal writing and preparing technical reports. Qualifications: PhD in a related field obtained within the last 5 years. Minimum
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 10 days ago
hold a PhD degree within a relevant field. - The PhD degree should not be older than three years. - The applicant must not have been employed at Lund University in the past two years. - Practical
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology
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Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
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Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where
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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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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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and/or theriogenology. A degree in Veterinary Medicine will be an advantage but not required. Preference will be given to candidates who are within three years of their PhD Experience: To enhance
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, other racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+. Qualifications PhD in Chemical or Industrial Engineering, or relevant equivalent experience Strong