12 parallel-processing-bioinformatics Postdoctoral research jobs at Harvard University
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highly preferred. Additional consideration will be given to applicants with a background in bioinformatics. Contact Information: Email: [email protected] Mailing address: Kevin Gozzi Rowland Institute
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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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bioinformatics. Additional Qualifications Special Instructions To apply, please send the following to [email protected]: A cover letter describing past, current, and future research interests A curriculum
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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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. 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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positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts . Additional details will be discussed during the interview process. Certain
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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
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in internal meetings and at national/international conferences. ● Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible