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Field
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. Understanding of ocular safety, with emphasis on the effects of radiant energy, relevant to environments with UVC radiation sources. Proficiency in scientific and modelling software, such as Zemax, Mathematica
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temperature, high viscosity, strong corrosivity, etc.). Optimise electrolyte transport and sample introduction into the ICP spectrometer while minimising matrix effects and analytical disturbances. Investigate in
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 2 months ago
intelligence and machine learning to decode interaction archetypes of membrane proteins and predict the effect of genetic variants. While the Superti-Furga Lab will be based in Graz, regular travel to Vienna
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immunology. The Meyer lab studies how the organization of the thymus and the cells therein provide an effective education system for T cells through genomics and mathematical modeling. For more information on
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, landscape architecture, construction management, urban and regional planning and visualization. As the only department of its kind in the nation, The Department of Landscape Architecture & Urban Planning
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for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging
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for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging
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international levels. Strong project coordination skills and the ability to ensure progress across complex, multi-stakeholder projects. The ability to work independently while contributing effectively
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-development. You will help design standardized metrics, indicators, and data collection protocols to assess the short-, medium-, and long-term effects of joint schoolyard-street transformations on community
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collaboration with the group of Peter Sykacek at BOKU, Vienna. The project uses artificial intelligence and machine learning to decode interaction archetypes of membrane proteins and predict the effect of genetic