380 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions in Singapore
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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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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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immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis using computational
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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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. 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
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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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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context