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security, machine learning and AI. Fresh graduates are welcome to apply.
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support research user studies to test the tools for usability and its efficacy for learning. The Research Assistant will have the opportunity to participate in writing research publications about their work
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effects and their coupled interactions. In effect, this a complex problem that needs the application for AI / machine learning to enable guided, efficient and effective optimization of the CHIPLET
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-centred design and AI, with a focus on how AI technologies—such as natural language processing, computer vision and sensors—can be leveraged to enhance the human condition. The candidate will contribute
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Assistant (RA) in machine learning (ML) security. We are looking for a highly motivated security expert to conduct research on the safety and security of the ML supply chain. The RA will be responsible
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machine learning for real-world applications. Scalable Digital Health Solutions: Develop methodologies for reliable, long-term motion monitoring across diverse user groups and environments
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at entrepreneurship and boldly initiating start-up ventures. Job Requirements for Teaching-Track Faculty We seek to fill positions in several areas including but not restricted to statistical and machine learning (ML
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possess a collaborative and entrepreneurial spirit, and be adept at applying statistical, data science and or/machine learning methods with a critical perspective in the behavioral and community health
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. Demonstrated expertise in computer networks and/or software testing and/or software security and/or applied machine learning. Track record of strong R&D capability, with publications at leading cybersecurity
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programming. Working knowledge of computer networks. Working knowledge of applied cryptography and/or applied machine learning is advantageous. Working knowledge in software testing is advantageous. Familiarity