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aspects of computational modelling, brain-computer interface technologies as well as within NUS focusing on design and application from the lens of landscape architecture. Key Responsibilities: Assist
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: PhD degree in Biochemistry or related field At least 2 years of relevant experience. Familiarity with structural biology and protein biochemistry. Good written and oral communication skills Proficiency
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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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stakeholders from across the early childhood research, practice, and policy sectors. Qualifications A PhD or Masters in Psychology/Behavioral Science/Public Health/Education/Sociology/Social Work/Communication
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herein Qualifications PhD in Clinical or Counselling Psychology, Social Work, Social Sciences or related fields with at least 3 years of relevant research experience and training Demonstrated success in
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creative postdoctoral researcher to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School
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Research Fellow under a new programme centered on the culture and politics of social media discussions. Job Description* As a Research Fellow with the SMOL project, you have demonstrated an exemplary track
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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The Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Fellow to join our team for a project
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University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial