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Field
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develop novel learning-based control and policy optimization techniques. We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for digital twin applications in
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visual technology and LLM, and the interface of AI algorithms with surgical robotics. The RA will design and implement cutting-edge algorithms and also be actively involved in the development AI tools
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highly valued. Ability to collaborate well with a team, and experience working in a university environment. Foundational understanding of data structures, algorithm design, or object-oriented. Experience
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Start Date: 26/06/2026 Apply AI/ML models and screening algorithms for the accelerated design and structural discovery of novel porous materials (e.g., MOFs/COFs); Conduct laboratory synthesis, activation
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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interpretation algorithms. A primary application will be segmentation and quantitative analysis of PSMA PET imaging in prostate cancer, with additional projects spanning radiology-based AI applications across
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, optimization and inverse problems, computational aspects of stochastic (partial) differential equations, randomized numerical algorithms, structure-aware and structure-preserving numerical methods for continuum
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research on various aspects of Quantum Computing – from compilers and algorithms for scientific applications that will run on Quantum Computers to experimental validation of the science and benchmarking
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of search algorithm changes (including AI-driven search/LLM discovery shifts) and adjust strategy and university education around these shifts proactively. Cross-Functional Collaboration & Governance Serve as
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combination of education and relevant work experience to equal at least nine years Strong foundation in algorithms, data structures, software engineering principles, and computational methods. Strong