467 computer-science-programming-languages-"St"-"ST"-"FEMTO-ST" Fellowship positions in Singapore
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in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
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Plan and perform the collection and organization of corporate financial and sustainability disclosures Plan and perform the collection and organization of information regarding government policies and
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who are in the process of completing their PhDs should complete their PhD requirements before they begin work Excellent English writing and communication skills Demonstrated experience in conducting
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requirements.- Maintain comprehensive documentation for audit and review purposes. Requirements - PhD in Science, Engineering, Business, or a related discipline; Masters' qualification may be considered on a
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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Educational Psychology preferred. A track record of internationally peer-reviewed publications in psychology, educational research, the learning sciences or science of learning or cognitive science, or related
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quantitative biophysical approaches, we address major problems in biomedical sciences including pathogenesis (from bacterial to cancer), tissue regeneration and function. We are seeking to recruit a Postdoctoral
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resource requirements Development of research hypotheses Plan and perform the development of valuation framework and advanced analytical tools connecting stock market information to corporate information
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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degree in Optimization, Operations research, Management Science or any other strongly related field. • Familiarity with optimization under uncertainty paradigms, especially robust optimization