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Field
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to the development of advanced statistical frameworks and computational tools for analyzing high-dimensional biological and environmental data. The position will specifically focus on: • Development of multivariate
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Weill Cornell Medicine - Chandwani Laboratory | New York City, New York | United States | about 2 months ago
data. This may include keeping a detailed notebook summarizing experiments and recording research data and/or maintaining a computer database of the research data. Tabulate data for presentations and use
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conducting original research and through publication, as appropriate to the disciplinary area. The post will support a research programme on multimodal language comprehension, ageing and individual differences
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Demonstrable experience in qualitative research, including interviewing patients Experience of qualitative data analysis using NVivo software High level analytical capability Ability to communicate complex
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Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health: Research Fellow / Senior Research Fellow in Programme Evaluation The Health Intervention
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. Basic knowledge of quality management systems and quality improvement tools Working knowledge of computer software programs sufficient for evaluation of electronic data, data interpretation, and report
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software skills. Preferred qualifications: PhD or MD in Neuroscience, Engineering, Computer Science, Psychology, or a related field First-author publication(s) from doctoral training and a track record of
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outcomes into practical tools, software, prototypes, workflows and partner-facing applications. Duties at this level: Lead and conduct high-quality research in AI-enabled medical, biomedical, biological, and
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industry, clinical, health-sector and medical research partners, and work closely with ACAMI’s Director, Development, to translate research outcomes into practical tools, software, prototypes, workflows and
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Genetics from an accredited University. Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in