171 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " Fellowship research jobs at Nanyang Technological University
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equivalent. Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable. Strong publication records in top-tier machine
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and intelligent networked systems, including theoretical and system-level research Demonstrated capability in advanced communication technologies, antenna systems, and machine learning–enabled methods
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quantum information theorists to integrate secure key rate calculations with simulations. Investigate and apply AI and machine learning techniques to improve and support secure-by-design development
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understanding of chronic wound pathogenesis. Key Responsibilities Plan, design, and implement independent research projects within a collaborative, multidisciplinary program Acquire and apply expertise in host
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Corporate Laboratory is seeking to hire a Research Fellow. The selected candidate will innovate research in advanced materials. Key Responsibilities: Work on AI-driven techniques such as machine learning and
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and
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expression systems Control of transcription, gene regulatory networks Synthetic biology, especially cell line engineering Immunotherapy, especially CAR-T/NK/M or dendritic cell therapies Diabetes, especially
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to independently acquire skills related but not limited to: next generation sequencing (particularly methylation analysis), population (epi)genetics, statistics and bioinformatics, high dimensional data analysis
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). Plan and draft cross-project analyses, synthesis sections, and learning summaries to disseminate CRCD research findings through publications and events (e.g., journal sections, pre-conference sessions
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prototype and we are interested to hire an applicant who is: Good team player with strong interpersonal skills Keen in learning new skills and knowledge in multidisciplinary fields of engineering and medicine