120 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" Fellowship positions at Nanyang Technological University
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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The NTU AI-for-X Postdoctoral Fellowship (AI4X-PDF), jointly supported by Nanyang Technological University (NTU) and Singapore’s National Research Foundation (NRF), is a prestigious programme
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, FSE, ISSTA, TSE, TOSEM) in the areas of blockchain security, smart contract analysis, program analysis or decentralized systems. Demonstrated expertise in large language models (LLMs) and their
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, Usenix Security, NDSS, CCS, ICSE, ASE, FSE, ISSTA, TSE, TOSEM) in the areas of blockchain security, smart contract analysis, program analysis or decentralized systems. Demonstrated expertise in large
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The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary
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from basic schlenk technique to computational methods with the Gaussian program. Draft detailed reports conveying experimental results and presenting findings to other scientists. Monitor laboratory
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-objective optimization. Practical experience with industrial or collaborative robotic arms (e.g., UR, KUKA, ABB). Proficiency in programming languages such as Python, C++, and ROS. Experience working
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, protein engineering, and synthetic biology tools (e.g., CRISPR, metabolic pathway design). Ability to work independently, solve complex problems, and manage multiple priorities in a fast-paced research
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. Experience in AI system security, adversarial robustness, and resilience of autonomous agents in emerging technologies and computer security (e.g., malware analysis, bug detection, program repair). Excellent
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the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s