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: This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu
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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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and maintenance of open, community resources. Centre and group information: NCMBM (https://www.med.uio.no/ncmbm/english/ ); Computational Biology & Gene Regulation group (https://mathelierlab.com
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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. Qualifications Minimum Qualifications: MD/DO, BE/BC Application Materials Be prepared to upload your CV Community Information Columbia offers small-town friendliness with big city features and a high quality of
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Commercial Generation Service (gVID) Post Duration: 16 Months Salary: €58,000 p.a. (personal rate) For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries
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infrastructure. You'll build a large-scale foundational microscopy image dataset and develop scalable data processing pipelines. This includes collaborating with internal and external partners on data sharing and
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mutual agreement, it has the possibility to be extended to a second-year. Responsibilities: • Use advanced econometric methods to analyze large-scale datasets, including claims data • Produce policy
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Qualifications Degree or concentration in accounting Experience working in an accounting or finance department handling large volumes of data Experience interacting with internal stakeholders and external
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of Health (LIH) is seeking a highly motivated Postdoctoral Researcher with specialized expertise in multi-omics data analysis. You will play a central role in analyzing large datasets from multiple large