162 parallel-processing-bioinformatics research jobs at National University of Singapore
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and qualified Research Fellow to join our research team on the project titled “Development of 3D Vegetation Quality and Intensity Indices”. This project specifically looks at the processing and
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and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
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Pathology systems (EPICS, REDCAP). Work with N2CR Research Pathologist to collect research blocks, assist in tissue processing, sectioning, and staining for quality control before inventory and TR storage. B
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with a team, have an investigative nature and attention to detail; have knowledge of computer applications (such as SPSS and MS Office, PowerPoint); and have good communication skills with patients and
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). Work with N2CR Research Pathologist to collect research blocks, assist in tissue processing, sectioning, and staining for quality control before inventory and TR storage. B. Construction of Tissue
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Join Us . Terms and conditions, according to university guidelines, are subject to change without prior notice. Application Process Please submit the following documents in one (combined) PDF and attach
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competitive salary (> S$70k/year) for the position with the consideration of years of experience postgraduate. The duties of the Postdoc include: Collect and process remote sensing data relevant
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year of working experience with quantitative data. Adept at working with data, including processing raw data to visualise trends and deciphering patterns and the ability to handle large data sets. Prior
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recruitment logs, ensuring accuracy and organisation throughout the study process. Ensure compliance with study protocols and adherence to the study schedule. Perform other related duties as assigned by
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-year renewal. The annual salary is in the range of SGD 84K to SGD 96K with SGD 8K of annual travel support the teaching load is one course per academic year. The review process will begin on 15 October