339 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions in Singapore
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efficiency Contribute to techno-economic evaluation of the developed system Prepare research reports, journal publications, and conference presentations Collaborate with computational scientist Other duties
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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Humanities, Arts & Social Sciences Digital capitalism and its impact on society and culture Use of computational, digital, and AI tools Digital and AI-driven creativity, cultural production, and conservation
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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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applies AI to tackle challenges in aquaculture and drug delivery, interface of materials science, biology, and computational modeling. Key Responsibilities: Lead and execute AI-driven research projects in
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deliverables such as reports/journal articles, workshops and webinars. Qualifications Applicants should have at least or close to obtaining a PhD in the Social Sciences/Humanities, Computing or other relevant
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NTU, CEE is a leading school for Sustainable Built Environment. We are looking for a research fellow to support the development of smart connectors for modular floating breakwaters. The role will focus on simulation, prototyping, and lab testing. The job is aimed at developing smart connectors...
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Communicating with stakeholders to understand business challenges and potential solutions Qualifications Doctorate degree in a quantitative discipline (eg. data science, computer science, computational biology
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. This position focuses on the development and application of large language models (LLMs) for advancing food informatics, food bioactives research, and sustainable food innovation. The selected fellow
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Computer Engineering. More information on the laboratory is available at www.neuroimaginglab.org . The MNNDL group at NUS is a multidisciplinary team studying the human neural bases of cognitive functions