1,788 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions in Singapore
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, the Student Governance Team, and the Transition & Integration teams in the administration of various student development programmes. Key Responsibilities: Programme Support for the Leadership Academy Support
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molecules, DNA, RNA, cells, clinical trials, computational and data science, implementation, behavioural and social science. A Laboratory Technician position is available, and we would like to invite you to
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projects at once Qualifications A minimum qualification of a Bachelor’s degree in Exercise Science, Physiology, or equivalent. Candidates with strong data science and analytics background and keen to delve
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and other administrative work. Requirements Bachelor/Masters degree in Social Sciences, or equivalent. Familiar with the socioeconomic development of ASEAN and Asia. Possess experience in writing policy
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short-chain fatty acids (SCFAs) and their role in mucosal healing in ulcerative colitis. Conduct advanced molecular biology, immunology, and microbiome analyses, including metagenomics, metabolomics, and
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. Provide documentation and assist internal and external auditors during review processes. Identify inefficiencies and recommend enhancements to improve financial operations. Liaise with internal teams and
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and grant accountability and internal and external audit (for both NUS and liaison with partner institutions). • Assist in procurement for core projects funded by CFI Singapore in Tranche 3 and
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research methods (e.g. interviews and ethnography) alongside knowledge of Geographic Information Science applications (e.g. ArcGIS, QGIS) will be an advantage Skills in using qualitative analysis software
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monitoring ofrelevant documents and internal audit -Maintain basic bookkeeping of staff records and other relevant documents (B)GENERAL (20%) 1.You will undertake any other duties as specified by the Reporting
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science, environmental engineering, and public health to tackle the region’s most pressing climate–health challenges through cutting-edge research, advanced modelling, and interdisciplinary collaboration