411 computational-physics "https:" "https:" "https:" "https:" "INRAE" 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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. 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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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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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS
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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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troubleshoot issues in the laser laboratory Manage procurement of equipment, components, and consumables Provide ad-hoc administrative support as needed Job Requirements: PhD degree in Physics, Engineering or
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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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Job Description Job Alerts Link Apply now Job Title: Research Fellow (LCPC/EA) Posting Start Date: 07/01/2026 Job Description: Job Description The Programme in Health Services and Systems Research
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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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interventions. The programme draws on a richly phenotyped biorepository of stroke patient samples, comprehensively profiled by whole-exome sequencing, RNA-seq, and proteomics, with clinical outcomes tracked over