18 phd-data-analytics "https:" Fellowship research jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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learning, and rheology will be advantageous. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408017/research-fellow-eng… Requirements Additional Information STATUS: EXPIRED X
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
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printing technologies and materials is advantageous. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Ability
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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hardware. Knowledge of building management systems, software integration, data collection, and analysis. Industry or research lab experience is required. Strong analytical and conceptual abilities. Ability
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printing technologies and materials is advantageous. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Ability
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, to ensure proper operation and maintenance of equipment. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405648/research-fellow-eng… Requirements Additional Information
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related