176 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "https:" positions at Harvard University
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agreement. Each fellow will work with 1-2 faculty mentors on research projects that cover a broad range of environmental and agricultural economics topics and methods. Faculty mentors for this program will
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than Friday, December 5, 2025. For more information about the Canada Program, please visit: https://canada.wcfia.harvard.edu/ Basic Qualifications PhD required by time of appointment. Additional
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are seeking a highly motivated Bioinformaticist with knowledge in computational image analysis and proficiency in Python. In this position, you will be supervised by our image analysis expert and will work
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the Harvard Medical School (HMS) Department of Biomedical Informatics (DBMI), will play a central operational and administrative role within an interdisciplinary team of clinicians, researchers
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Candidates MUST meet the following basic qualifications in order to be considered for this role: A minimum of five years of progressive administrative and/or project coordination experience. Computer skills
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research focused on well-being and public health supervision or mentorship experience demonstrated interest or experience in program development and community engagement preference for previous experience
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program and as Designated School Official (DSO) for the F-1 program under the U.S. Manages, facilitates, and leads important operational or immigration policy committee (i.e., Website, Communication, OPT
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for the intensive computational needs of AI and ML workloads. CI/CD Pipelines: Build and maintain continuous integration and continuous deployment (CI/CD) pipelines tailored for AI/ML models Automation: Automating
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at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs . D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no
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leveraging computational strategies and bioinformatics tools and analysis methods expertise to identify the earliest molecular changes that take place prior to cancer initiation as well as critical programs