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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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in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may
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; • popularisation of the results and other forms of dissemination. Competition rules Announcement reference number SOB/D110/2026/02/50-0305581 Keywords Informatics, Mathematical logic, Algorithms, Combinatorial
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logic, Algorithms, Combinatorial analysis Deadline for submitting applications: 21 August 2026 Method of submitting an application to apply for the position, candidate should send an email entitled
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include developing algorithms for ultra-fast force feedback and providing open SDKs and APIs for developers. Your Responsibilities Requirements Analysis: Assist in gathering requirements and translating
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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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user studies, develop novel algorithms, build immersive/augmented realities, and validate your solutions in real-world settings. This PhD is ideal for candidates interested in one or more of the
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mathematical structures and computational algorithms underlying modern machine learning and artificial intelligence. Relevant themes include geometric and algebraic methods for learning, structure-preserving
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in the presence of strategic, realistically constrained adversaries and probabilistic uncertainty. We seek to develop analysis and design algorithms that incorporate cross-layer information and account
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and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With