132 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning Master positions
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Masters of Artificial Intelligence and Machine Learning COMP SCI 7205A - Artificial Intelligence and Machine Learning Research Project A in Trimester 3, 2025 AND COMP SCI 7205B - Artificial
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seeking graduate students (Master’s and/or PhD) to conduct cutting-edge research in: Heterogeneous systems for quantum and safety-critical systems. We offer fully funded positions, including tuition support
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real-world deployment scenarios and collaborate with global organizations to ensure practical implementation and scalability. Key Research Areas: Software engineering, AI/machine learning, IoT
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Join a cutting-edge research initiative developing breakthrough sanitation technologies for global impact. This fully funded PhD or MSc by Research opportunity, sponsored by the Gates Foundation
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FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento | Portugal | 4 days ago
Graça Tavares Rebelo de Soveral Rodrigues, PhD, Full Professor, within 10 working days from the date of notification. Applicable legislation and regulations: Regulation of Research Grants of the Fundação
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their Master's degrees in AI and machine learning. Join AIML's research community and contribute to shaping the future of industrial AI. This innovative program is supported by the South Australian Government
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
optimization. The research focuses on creating efficient design workflows, validating multiple additive manufacturing approaches, and developing scalable production methods that can support global deployment
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to develop next-generation automated sanitation systems that can operate reliably in household community settings. The research focuses on creating intelligent toilet technologies incorporating embedded
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This research project, part of the Gates Foundation’s global health initiative, involves detailed chemical and biological analysis of liquid and solid waste from innovative toilet systems. Students
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that, they can be replaced by a declaration of honour. Preferential factors: • Expertise in machine learning, information retrieval, natural language processing. • Expertise in conversational models and systems