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(I3S), Sophia Antipolis Hosting lab: I3S & INRIA UniCA Apply by sending an email directly to the supervisor: emanuele.natale@univ-cotedazur.fr Primary discipline: Machine Learning Secondary discipline
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electronics Prepare the syllabus and lecture materials for the MSc course. Meeting the learning outcomes of the MSc course. Provide reading list for the MSc course. Provide consultation to the students where
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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer science
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for Astronomy in Germany. The StarForML group focuses on developing robust machine learning tools for the evaluation of star formation observations. We aim to gain new insights into how star formation progresses
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: Essential criteria PhD qualified in Mathematics, Physics, Engineering or Computer science or near completion* Experience in language computer programming (Python) General experience in machine learning/deep
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State University of New York University at Albany | Albany, New York | United States | about 20 hours ago
fundamental questions about human cognition and the brain by integrating cutting-edge neuroscience methods with innovative computational approaches such as artificial intelligence (AI), machine learning
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partners, one of them Infineon. The PhD candidate will be working on computer vision algorithms for head pose tracking. The tasks will be: Independent research on topics in 3D computer vision and machine
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candidate will utilise multiscale modelling, mathematical optimisation, machine learning, and additive manufacturing to create digitally-designed, patient-specific smart implants. To deliver on the project
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medicine. This position is an exciting opportunity for an enthusiastic machine learning researcher to push the boundaries of multimodal-AI by developing new models that incorporate data across several