633 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "Univ" research jobs in Singapore
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directed evolution, next generation sequencing workflows, CRISPR genome editing, and quantitative data analysis using standard scientific software or scripting tools; Possess strong attention to detail, good
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the Position: As Research Assistant, you will be part of an interdisciplinary, dynamic team conducting empirical research with professionals across various industries. You will: Support or lead data
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written and spoken English and Tamil is required, to conduct data collection and analysis in both languages. Familiar with the Singapore education system Familiar with qualitative and quantitative research
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written and spoken English and Malay is required, to conduct data collection and analysis in both languages. Familiar with the Singapore education system Familiar with qualitative and quantitative research
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or above preferably in Social Science, Learning Sciences, Education, Psychology, Data Science, or a related field: Familiar with the Singapore education system Familiar with qualitative and quantitative
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and device characterisation using optical microscopy, AFM, XRD and basic electrical measurements. Collect, log and carry out preliminary analysis of experimental data and report results. Maintain
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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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. The successful candidate will conduct literature reviews, produce research summaries, pen research plans, recruit participants, and ensure compliance with research ethics and data privacy requirements. This role
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Master’s degree in psychology, cognitive science, human-computer interaction, communication science, or a related field. Background in some empirical research methods (quantitative, qualitative, or mixed
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, including the attitudes and lifestyle preferences of different population segments to frame household archetypes and ensure that data-driven models remain coherent with real-world dynamics and social-spatial