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to detail; Have knowledge of computer applications, e.g. MS Office Suite/Office 365, GraphPad Prism, Python and/or R programming 3.2 Experience : One year (or more) of relevant laboratory research
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research into health intervention processes; and increase Singapore’s regional and international profile as a centre of excellence for health behavioural sciences. We are looking for a Research Associate
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on PPIE projects in research and education, developing sustainable processes and infrastructure for PPIE, patient partner recruitment and relationship building, and developing capability building programmes
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and alter the characteristics of turbulence Job Requirements: Bachelor’s degree in physics Familiar with computer sciences, HPCs, handling large amounts of data, and data analysis Background in
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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Qualifications The applicant should: have a degree in nursing, health science, psychology or sociology background have knowledge of computer and data analysis applications (such as SPSS and MS Office); have good
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-oriented; have knowledge of computer applications, e.g. SPSS, MS Office. Interested candidates, please apply online with contact information for three references. For any queries, please email hptrp
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Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal
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on cancer survivorship Manage social media marketing efforts to promote research activities and events Administration support Prepare and process purchase requisitions, quotations, and purchase orders in a
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“Optimization of Bioprogrammable Hollow Fiber Membranes” Key Responsibilities: Operation of lab-scale reverse osmosis and nanofiltration evaluation setup Perform membrane performance evaluations Perform hollow