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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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Responsibilities: Conduct high-quality research in the field of AI, focusing on multi-omics data analysis and fusion for precision medicine Design and implement innovative AI algorithms and models to solve complex
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University Abu Dhabi, seeks to recruit a motivated research or postdoctoral associate to lead the design, development, and validation of material, control systems, and algorithms for next-generation soft
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on multi-omics data analysis and fusion for precision medicine Design and implement innovative AI algorithms and models to solve complex problems Collaborate with team members and contribute to ongoing
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. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python), deployment to robotics applications; onboard computational hardware using the Robot Operating System), and
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for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized
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that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
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/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs
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, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security