187 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Canada
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Vision conferences, CVPR, ICCV, ECCV and peer reviewed journals. Minimum Qualifications: PhD in Computer Science or a related field obtained within the last five years. Strong skills in machine learning
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The Gulf Research Program’s Science Policy Fellowship program helps scientists hone their skills by putting them to practice for the benefit of Gulf Coast communities and ecosystems. Fellows gain
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pursuit of our vision. To address contemporary agricultural challenges, we seek to catalyze transformative discoveries and enhance education and engagement. AFRI-funded science is vital to meeting food
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logistics with Research Investigators and the Research Program Manager. Other duties as required. Qualifications PhD in a relevant discipline required Relevant research experience in epidemiology
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to work as part of a team. Preference will be given to applicants with intermediate or advanced computer skills in the following software packages: R, Stata or SAS (quantitative data analysis software), MS
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environments (namely the Surrey Memorial Hospital NICU-partnering with Ronald MacDonald House). There would be opportunities to work closely with experts and students in the fields of human-computer interaction
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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The L’Oréal USA Fellowships for Women in Science program is a national awards program that annually recognizes and rewards five U.S.-based women researchers at the beginning of their scientific
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soil and crop scientists, GIS specialists, remote sensing experts, and computer programmers. They will be responsible for: Conducting fieldwork using UAVs (drones) to capture high-resolution imagery and