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coordinate parallel trials with in-country teams across partner nations; Oversee seaweed sample collection and processing with in-country teams, and contribute directly to field sampling where required
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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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) 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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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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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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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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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
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
and combinatorial synthesis workflows, including high-throughput solution synthesis, microdroplet printing and processing Design and execute automated synthesis experiments using robotic platforms