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testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and
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well as validation of the platform in clinical contexts, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database
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highly qualified, self-motivated post- doctoral fellow to join our research program in computer-aided diagnosis and AI (CAD-AI). Responsibilities* The research will involve development of decision support
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. Further information about the College may be obtained from the College website (www.kings.cam.ac.uk). Research Fellows of the College will be encouraged and expected to participate in the social and
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About Us We are offering an exceptional career opportunity for an accomplished Research Fellow to support the data analysis and data management team
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: Information Statement Guidelines for Academic Positions: Guidelines Further Information: Department Website Create an email with a link to this vacancy: Create email Location: About Dunedin Primary Location NZL
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Contact: Professor Niels Kjærgaard Position details: Information Statement Guidelines for Academic Positions: Guidelines Further Information: Department Website Create an email with a link to this vacancy
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Research Associate, Translational Research Fellow - Dept. Ophthalmology Visual & Anatomical Sciences
/research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data
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. Explore shared molecular mechanisms linking cardiovascular disease and cancer progression. Apply cutting-edge techniques including spatial transcriptomics and single-cell multiomics and integrate multi