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, this PhD project explores radio frequency (RF) technology as a novel processing method for the insect industry. RF technology is a dielectric, volumetric heating method that uses electromagnetic waves
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) computer simulations of heliospheric plasma processes with kinetic (PIC) methods and MHD models. The specific goals to be pursued within the 1+1-year period are tied to the aforementioned topics (turbulence
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dressings. Existing refining processes to isolate this chitin have significant shortcomings as they are inadequate to produce high-quality products and generate significant amounts of waste. To tackle
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biomedical applications is a tedious task, requiring expert knowledge and multiple iterations. One of the key issues is that during the design most often the effect of the production process on the performance
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sensor processes Work together with world class experts on the fields of CMOS image sensors and radiation tolerant CMOS circuits We offer you a temporary assignment of 1 year with the possibility
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, Computer Sciences, or equivalent Excellent motivation to work on soil-plant processes, remote sensing and modeling Experience with data-processing or programming in Python, Matlab, IDL, GrADS, R, or other
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implementation of a 3D-Var framework to assimilate radar data: reflectivity, vertically integrated liquid, differential reflectivity, and Doppler velocity. The following related tasks are expected: Pre-process and
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) Experience in these areas is a plus: Knowledge graph construction from semi-structured data (tabular) data understanding Natural language processing (NLP) graphRAG Your tasks will include: research in
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their diversity, must integrate and execute a set of common processes to survive and replicate (metabolize nutrients, generate cellular building blocks, maintain cell shape and size, replicate and segregate
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a "co-researcher" in the pre- and post-processing of numerical simulations. Depending on your expertise and interest, you will work on one or both of these topics. Where to apply Website https