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the outcomes of SCC surgery. Job Responsibilities: As a PhD candidate, you'll focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and healthy tissues using both
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University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives
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science, and sustainability. Driven by innovation, sustainability, and interdisciplinary collaboration, the center aims to bridge research and practical applications for the development of a large spectrum
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institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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opérationnelles / expertise : Capacité démontrée à mener des recherches de manière collaborative et autonome Excellentes compétences en communication Une expérience dans l’encadrement d’étudiants de niveau
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
publishing of results. (20%) Collaborate with other team members on various lab projects (20%) Minimum Acceptable Education & Experience: PhD in quantitative ecology, marine science, or related field Required
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Conduct independent and collaborative research within one or more of the D4H thematic areas Contribute to the development of training materials and workshops for doctoral candidates and facilitate exchange
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positions are filled. If you are passionate about these research areas and wish to join a dynamic and collaborative team of researchers, we encourage you to apply. We offer flexibility in the research topic
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intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet