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and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
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contact information for up to three references. Contact Information Mark Peterson Contact Email mpeterson@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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implement rigorous study Conduct wet-lab experiments Perform in-depth, critical data analyses Effectively communicate through presentations and high-quality journal publications Assist in supervising research
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/CBDS/FQ) Posting Start Date: 11/03/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
appropriate statistical analyses and curating large data sets as required, and drafting research papers to disseminate the findings of the project. Co-supervising student projects and providing research support
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contributors to research breakthroughs, significantly impacting research and society. For information about eligibility and selection criteria and application open and closing dates, see: Awards and Awards
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covered by other funding providers: Further information Further information For further information see: www.daad.de/dlr Application requirements What requirements must be met? At the time of
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 9 hours ago
a multidisciplinary team to develop frameworks for standardizing and combining subject-level data from hundreds of clinical trials, including over 20 completed cardiovascular outcome trials. You will
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looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics, metagenomics, proteomics, and metabolomics data in a new project investigating
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: • Co-facilitating focus groups with Māori older adults, healthcare professionals, and members of community organisations (e.g. ACC, Aged Concern). • Collating and reporting quantitative data