226 phd-position-in-data-modeling-"UCL"-"UCL" Fellowship positions at Nanyang Technological University
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Requirements: PhD in Microbiology, Biotechnology, Biomedical Engineering, or related discipline. Strong expertise in microbiology, including microbial culture, pathogen handling, and molecular characterization
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agentic architecture. With prior experience in AI security and AI agents, including prompt injections, data extraction, jailbreaking, poisoning and adversarial attacks, the candidate brings transferable
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research fellow. The Research Fellow will take on a significant role in research
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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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synthesis, partitioning, and verification automation. Integrate open-source and commercial tools (e.g., SpinalHDL) to build proof-of-concept design flows Building data pipelines for learning and knowledge
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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on a project on the topic of onshore microgrid energy management system development. Key Responsibilities The roles of this position include: Development of the onshore microgrid model including static
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in transition metal catalysis at the Zhong Group. CCEB is a newly
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low