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static structure. This multi-state docking approach will be based on a scoring function combining shape complementarity and approximate binding free energy in order to rank binding candidates while
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human activities, and a probabilistic analysis of the risks associated with their development by 2050. 1. Literature review of multi-scale modelling methods for cumulative effects Initially, a
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, Technology and Information in Human-Computer Interaction (HCI), with a focus on responsible computing. The successful candidate will have an interest in online safety, including areas such as social media
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
medium. Methods of investigation may include analyses of archival multi-wavelength observations from space- and ground-based facilities, as well as new observations and analyses. Additional interests
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded
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radioisotopic and isotopic tracing methods to investigate molecular signaling mechanisms under controlled experimental conditions. Job Description: Job Duties: Assist with molecular biology-related tasks: PCR
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, Microsoft Outlook Preferred Other Computer Applications: Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/97047
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and provide user training on EM methods. Work assignments include, operation and maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data
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: Department of Family Medicine Course Title: Applied Mixed Methods in Health Research Course Code: FMED 672 Estimated Number of Positions: 1 Total Hours of Work per Term: 20 Position Summary: Family Medicine
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to develop an innovative model to estimate the direct and indirect costs of urbanization based on urban morphology (compact or sprawling). The candidate will analyze real case studies, integrate variables