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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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concept to pre-clinical proof-of-concept. For more information on Dr. Badie’s lab please visit here . As a successful candidate you will: · Design ASOs, siRNAs, or aptamers that include chemical
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-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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at the NUS Business School, Department of Analytics and Operations. The research fellow’s primary duty involves conducting research, including model development, theory building, data analysis, and possibly
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oversee the operation of the state-of-the-art analytical facilities (LA-ICP-MS, FEG-SEM) and conduct research on combining geochemistry, petrology, and modelling to better understand the signs of a
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devices, educating clinicians to use devices and biomedical engineers to maintain them, and implementing locally-owned data dashboards to drive uptake and quality. The Global Health Post-Baccalaureate
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and statistics, with expertise spanning time series analysis, Bayesian inference, financial econometrics, and data analytics. As home to one of the strongest forecasting research groups worldwide, we
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play a crucial role in advancing human biomonitoring of plastic-associated chemicals. You'll have the opportunity to develop innovative analytical techniques for detecting compounds in blood and urine
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play a crucial role in advancing human biomonitoring of plastic-associated chemicals. You'll have the opportunity to develop innovative analytical techniques for detecting compounds in blood and urine
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of using and developing Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information