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. Design, develop, test, benchmark, deploy, and tune agentic AI software frameworks and multi-fidelity optimization algorithms to close the feedback loop for automated scientific discovery. Deploy, optimize
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consensus. The successful candidate will develop the algorithmic foundations of this framework—making the motion-generation stack modular and heterogeneous (combining model-based control with learning-based
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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involves a research project with a focus on computational genomics and they will work on methods development for somatic mutation analysis using genome sequencing data. This role involves research
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advanced planning and control algorithms, real-time and energy-efficient sensing, and distributed perception. Its research is applied across diverse sectors, including agriculture, manufacturing and remote
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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-heuristics, has long favoured the development of algorithms tailored to specific problems, even if based on higher-level search strategies. In combinatorial optimisation, this is justified primarily by
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to research and knowledge exchange, programme development at postgraduate level, and assume service and administrative responsibilities as appropriate. Requirements Applicants should possess Ph.D. degree in
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develop algorithms for segmentation, motion tracking, elastography, and biomechanical analysis of aneurysms, with the goal of improving patient-specific rupture risk assessment beyond traditional diameter
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intended for a senior researcher with a highly specialized interdisciplinary profile at the interface of graph theory, combinatorics, exact graph algorithms, molecular graph analysis, cheminformatics, and