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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office
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to wake development. Boundary conditions to the CFD model will be further developed to analyse the impact of meso-scale variation of the flow occurring over much larger spatial scales than the turbine array
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sequencing instruments into microscopes! Your mission You will join our team, a leading group in the field of DNA nanotechnology specialized in creating molecular tools for life-science research (http
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. Developing relevant modelling tools to support comprehensive analyses of livestock systems. Assessing environmental impacts of current livestock production systems and evaluating potential outcomes from
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for a motivated researcher who wants to solve actual spatial, environmental, and socio-economic problems using modern data, analytical tools, and computing methods. We expect an active approach, a
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in Quantitative Eco-Epidemiology (Plague) Apply for this job See advertisement About the position Postdoctoral Research Fellow in spatial and computational disease ecology and epidemiology, focusing
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, ultimately aiming to find better treatments for patients with cancer. This position is intended to provide experimental support by working in the laboratory of physician scientist Dr. Christine Eyler (https
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) Scale up forest dynamics predictions from stand to landscape level. As the PhorEau model cannot be run in a fully spatially explicit manner at large spatial scales, the PhD candidate will interpolate
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studies of human tissue and several in-vitro models. The group has for many years been at the forefront of the field and has established collaborations with several international research groups. The group
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ovarian cancer. The laboratory has about 15 members investigating the role of metabolism and methyltransferases in ovarian cancer metastasis. We use a variety of cutting-edge methods, including spatial