17 post-doc-image-processing Postdoctoral positions at Harvard University in postdoctoral
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. Specifically, our core technique is scanning electrochemical cell microscopy (SECCM) , a powerful electrochemical imaging method for probing electrochemical processes at nanoscale sites on complex electrodes. We
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experience in radio data analysis, optical/IR spectroscopy, space-based imaging analysis (optical/X-rays), and other time-domain science are encouraged to apply. Resources include programs with HST, Chandra
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Jul-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Biological/Biomedical Sciences Internal
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, digital health, and policy issues under the mentorship of Prof. Haiden Huskamp, and the provision of primary care services, with a focus on the patient-level impacts of primary care physician work effort
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postdoctoral candidates with backgrounds in microbiology and molecular biology. Ideally, the candidate will have experience with bacterial husbandry, cloning, genetics, microscopy/biological imaging and/or
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, cloning, microscopy/biological imaging, FACS, bioinformatics, and/or protein biochemistry. A strong publication record in relevant fields demonstrating these skills is highly preferred. Additional
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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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(approximately 5,000 postdocs). In collaboration with the HMS Office of Faculty Affairs, develop and manage data, systems, and policies related to postdocs, including dashboards, process and policy repositories
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 17-Jul-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Engineering Internal Number: 15017 School
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statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research and collaboration