65 parallel-processing-"KTH" Fellowship positions at Harvard University in United States
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Details Title Postdoctoral Fellowship in Electrical and Computer Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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including: epidemiology, gerontology, social determinants of health, social and clinical psychology, environmental health, genetics and epigenetics, biostatistics, natural language processing, and machine
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including: epidemiology, gerontology, social determinants of health, social and clinical psychology, environmental health, genetics and epigenetics, biostatistics, natural language processing, and machine
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data management and data cleaning and organization in large (N~100,000) datasets, such as the Nurses Health Study cohorts. · Data/Statistical Analysis. Processes, organizes and summarizes data, reporting
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including publication charges, related conference travel, and computing resources will be available. Please direct any questions on the application process to Nicole Grenier: [email protected]
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://www.bhi.fas.harvard.edu ; information about BHEX may be found at https://www.blackholeexplorer.org/ . Please direct any questions about the application process to Nicole Grenier: [email protected] . Basic
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Qualifications Applications are due on Thursday, October 1, 2026 at 11:59 pm ET. Our selection process includes a first-round interview and a final-round interview and may include other skills assessments. We
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, and define data needs; track, curate, and upload raw and processed datasets to hubs and repositories as appropriate. · Follow relevant scientific literature to ensure use of optimal methods and
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stratospheric conditions. The research will focus on determining reactive uptake rates and other parameters needed to characterize these heterogeneous processes. Experimental results will be integrated