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control, state estimation, and path planning algorithms for single and multi-agent robotic systems (UAVs). develop and train AI models for practical applications such as real-time object detection and
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deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals (33%) Conduct full stack development efforts including UI/UX, code maintenance, and deployment
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strategies, and cross-functional collaboration — shaping the future of quantum computing. We holistically address business-relevant challenges using innovative quantum computing algorithms and demonstrate
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platforms including 454, Illumina, and Pacific Biosciences. Manages and redefines data to the necessary formats. Helps to identify, evaluate, and incorporate relevant algorithms and software pipelines by
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teams to codesign hardware, algorithms, benchmarks and software for QHPC systems, aiming to advance our strategic goals in leveraging quantum computing and high-performance computing (HPC) to develop
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developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
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. Candidates having relevant research or working experience in LLM/VLM and AI decision-making algorithms for autonomous vehicles will be preferred. Good communications skills and the ability to work
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collected and writing up experiment results in the field of computational biology. Core responsibilities include: Working with biological data - implementing algorithms, programming and data analysis
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you will do Driving innovative AI research through the development and implementation, practical application, theoretical analysis and evaluation of AI algorithms Use of XAI tools to explain machine
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literature. Foundational Algorithms for AGI AGI will not emerge from scaling existing models alone; it requires a new algorithmic foundation for learning, reasoning, and adaptation. This research area is