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Field
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• Possess a PhD in Computer Science, Software Engineering, Information Systems, or a related field. • Strong full-stack development skills (e.g., Node.js, React/Vue, Python backend frameworks
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exhibition promotion ability, Adaptability to high-intensity R&D and industry-application settings abilities. Hard skills: Communication and written skills, design software use and manufacturing processing
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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to publications in top-tier international conferences and journals, as well as real-world implementations. The role includes designing novel algorithms, building robust software systems, and collaborating with
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benchmarking Proficiency in quantitative research methods, statistical analysis, and computational techniques Proficiency in programming languages such as Python and statistical software such as R, with basic
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advances in nanomaterials and quantum physics to realize breakthroughs in X-ray/EUV technologies for applications including EUV lithography and X-ray inspection. We have three openings for Computational
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advanced robotic systems to real‑world environmental challenges? As a key member of the Real Robotics Lab, you will lead the development of innovative robotic concepts, systems, and software for deployment
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completed within the past five years, or close to completing, a PhD in aerospace engineering, computer science, artificial intelligence, systems engineering, software engineering or a related field, with a
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to design, lead and implement a defined programme of research and full stack software engineering in support of the Abilta project, developing, evaluating and translating innovative AI-enabled
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intricate. Specializing in program analysis and software analytics, the lab works on enhancing the precision and scalability of static analyses and mining insights from software repositories. Ongoing research