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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20231097F Position Title
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project partners. In parallel, support will be provided for the implementation and operationalization of the financial, economic, structural and risk performance indicators developed within the NEXUS
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. The employee is to communicate with any relevant
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this procedure. The candidate must be enrolled as a PhD student within 3 months of the start of employment. The ability to start the position timely on the project start date will be considered an advantage when
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of structure-function quantifications. We also perform CRISPRa high throughput screening and massively parallel reporter assays (MPRAs) in iPSC-CMs. A current major focus of the lab is implementation of MPRAs
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. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you We are looking for a candidate with: Strong expertise in signal processing
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
highly automated workflow. This means rather than having a researcher building one strain at a time manually, the same researcher could build hundreds or thousands of strains in parallel using our robotic
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Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. The employee is to communicate with any relevant stakeholders (internal
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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation