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; Quantum Algorithms / Computation; Software Engineering; Programming Languages; Logic / Verification Responsibilities: Research: The appointee is responsible for undertaking high-quality innovative
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. Proficient in multiple programming languages, especially Python, Java, C. Knowledge in software engineering, data structures & algorithms, computer organization/architecture, microcontroller programming
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. The roles of this position include: Development of algorithms to improve memory/sample/time efficiency of LLM training. Development of a workable prototype system with capabilities such as conversational
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implement optimization models tailored to transportation and logistics contexts. Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real
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understanding of machine learning/deep learning fundamentals. Able to appreciate and explain the mathematical workings of common algorithms for computer vision/NLP/tabular data. Hands-on skills in Python-based AI
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, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas like NLP, Computer Vision, or on tabular data Generative AI & LLMs: Hands
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to): • AI and algorithmic culture • Database, models, and representation • AI, environment, and sustainability • Ethics and governance of AI development • AI in social media and creator culture
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: Python, R, Java, C++, C#.Net, SQL. Proficiency in using Business Intelligence tools (e.g. Power BI, Tableau or Qlik Sense) Experience in applying machine learning techniques and designing algorithms
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(Preferred) Stay informed about video marketing trends and experiment with new techniques to improve engagement Optimise video content for search engines and social media algorithms to maximise reach Manage
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of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working