2,008 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" positions in Singapore
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stakeholders in ensuring all relevant job and internship opportunities are promptly shared with MSc students; Track, update and complete information and documentation on employment of MScs; Champion a culture of
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and distill information, contribute to manuscript writing • Assist with creation of THRivE Toolkit • Reach out to and work with community and government stakeholders, artist and musician
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programme lines and the overall profitability and sustenance of the programmes. Develop and monitor the data quality metrics and ensure programme data and reporting needs are met. Cultivate short-term
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enhancement or adult education highly advantageous. A good understanding in the areas of business development, customer services management, business operations and use of data to support decision making. Able
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qualitative and mixed-method research projects related to social-health integration, psychosocial impact of physical environment, and rehabilitation-related topics. Conduct qualitative data collection
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execution of experiments. - Collect and analyze research data. - Guiding and working with junior staffs, including graduate/undergraduate students. - Participation in preparation of manuscripts and other
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. The application process will take approximately 15-20 minutes to complete and we would advise that you have the following information ready to facilitate your application: Original Master's and/or Bachelor’s degree
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to complete and we would advise that you have the following information ready to facilitate your application: Original PhD and Master's degree (if any), transcript and certificate in soft copies Test of English
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systems that connect chemical, biological, and sensory data with textual and scientific knowledge. • Applying LLMs to accelerate discovery in food bioactives, sustainable materials, and food formulation
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to propose research ideas and hypotheses Compile and archive research materials Data collection in the field, external databases and online if necessary Cleaning and merging datasets (using R, Python, Stata