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assets Practical experience in fuzzing or cybersecurity testing. Familiarity with machine learning concepts or AI platforms. Curiosity, creativity, and the drive to explore new research ideas. We offer
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skills and a keen interest in application-oriented academic research in applied machine learning. The selected candidate will conduct a research project on data-driven fraud detection, with the objective
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specializing in the medical or biomedical sciences, with demonstrated excellence in both methodological research and clinical application of artificial intelligence and machine learning (ML). The candidate will
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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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(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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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 15 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