80 software-defined-network-phd Postdoctoral positions at University of Washington in United-States
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supplement for a defined administrative role, or Productivity Incentive. This position is on an annual 12-month service period (July 1 - June 30). The anticipated start date is 7/1/24. Completed PhD or a
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Astronomical Software Development. Excited by the prospect of leading and participating in early science with Rubin Observatory and the Legacy Survey of Space and Time (LSST; http://lsst.org ). Enthusiastic
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of force production of cytoskeletal networks and their adaptation to varying loads during endocytosis. We have: • An engaging, supportive, and collaborative research environment. • Opportunities
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progression. The models are informed by a variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor
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conducting qualitative network analyses of the connections between land use, water quantity and quality, marine food webs and species, governance, and ecological, social and economic system dynamics and
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at the Technical University of Munich and the Centre for Ecological Research and Forestry Applications, as well as a broad network of collaborators including Federal, state, Tribal, and NGO partners across
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broadly defined mission that accommodates diverse faculty interests and expertise. At present, OHS enjoys faculty expertise in areas including anatomy, biochemistry, molecular biology, microbiology
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broadly defined mission that accommodates diverse faculty interests and expertise. At present, OHS enjoys faculty expertise in areas including anatomy, biochemistry, molecular biology, microbiology
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projects include 1) defining the mechanism of genetic factors influencing pulmonary arterial hypertension, 2) evaluating how endothelial cells crosstalk with other lung cell populations in the disease lungs
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regression models (e.g., SAR, LME) to derive ecological insights from big data sets. The project entails developing reproducible and scalable methodologies, using common software and programming languages