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instrumentation and sample processing workflows Ability to work independently, manage multiple projects, and contribute actively to collaborative research Excellent organizational skills and attention to detail
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, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis and result tabulation. Phase 5 – Research communication and writing of papers. The level of responsibility and
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) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets. Plan, supervise and
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are looking for a Research Fellow to support the research projects. The research fellows will work closely with the other institutes to integrate their systems into the processing of fibrous muscles. Key
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organizational and time management skills. Strong written and verbal communication skills. Proficiency in using software tools for NMR or cryo-EM data collection and processing is a plus. Familiarity with
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and Computer Engineering Employee Referral Eligible: No Job requisition ID : 28367 Apply now
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the term of their appointment. In addition to annual leave, the Fellow may apply for leave to undertake research and fieldwork overseas, subject to the approval of the CIL Director. Application Procedure
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year for every year of sponsorship. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for the 2026 intake. Interview by
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year for every year of sponsorship. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for the 2026 intake. Interview by
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-Computer Interaction, Health Informatics, Data Science, or a related field. • Demonstrated experience in the design and evaluation of digital health or mHealth interventions, ideally involving real-time data