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, Public Health, Climate Science, Data Science, or related disciplines. Demonstrated experience in managing large-scale data sets and conducting health-related research studies. Strong analytical skills with
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of what microscopes can achieve. You will create and apply sophisticated algorithms, physics-based simulations, and machine learning models to process complex data from our cutting-edge imaging systems
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academic area with a strong data analysis component Excellent coding skills with a focus on reproducibility and open-source publishing of code Experience of analysing large epigenetic or genetic datasets
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. Thanks to feedback from our employees over the years, we’ve been fortunate to be named a top employer around the world. Alnylam is extremely proud to have been recognized as the #1 Large Employer by Boston
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decisions we make. Thanks to feedback from our employees over the years, we’ve been fortunate to be named a top employer around the world. Alnylam is extremely proud to have been recognized as the #1 Large
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disease prevention/management, pharmacoepidemiology and big data research. The successful candidate will also develop and strengthen internal and external relationships with relevant research groups and
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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
of other medical data, to support clinical decision making. This builds on our prior research in which we have assessing the usefulness of a large language model to query and summarize unstructured medical
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for handling data collection, surveys, publications, and logistics for the mCDR project 3 year fixed term, part-time (0.8 FTE) position based in Hobart About the opportunity The Research Fellow will contribute
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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical