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research visits to laboratories throughout Europe and the world. International exchange is a key feature in the application process. Applications to go to the country in which the PhD was obtained will not
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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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skills · Ability to work independently and collaboratively in interdisciplinary research environments Special Instructions Required application materials submitted through this site include 2-3
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available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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theory and information theory. The appointment will be for up to two years with annual renewal based on satisfactory performance and continued availability of funding. Basic Qualifications Ph.D. in
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organoids and to use the building blocks to fabricate functional organ-specific tissues at scale. Basic Qualifications Candidates must have a Doctorate degree in Materials Science, Bioengineering, or Stem
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the Silver lab at Harvard Medical School in Boston Massachusetts. The work of the Silver ab is focused on engineering biological systems for health and sustainability. We welcome applications from recent PhD
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studies of brain aging and maintenance, and their relevance to cognitive decline and resilience. Anchoring deep individualized phenotyping, the work will involve a combination of brain imaging, biomarker
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international initiatives, including Mass General Brigham, Penn Medicine, Cambridge Health Alliance, PsycheMERGE Network, PCORnet, and OHDSI, providing unique opportunities to work with massive EHR-genomic