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infection and computational modeling . Preference will be given to candidates with research experience in the core areas of the group’s research; The candidate should have good programming skills (e.g. python
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-scale atmospheric conditions. Most current regional and global atmospheric chemistry models struggle to represent plume processes. Their spatial resolutions are typically too coarse to resolve plume-scale
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
research task is to model semantic change and conceptual structure using Natural Language Processing. We will build customized NLP pipelines for premodern Greek and humanistic Latin, train and evaluate word
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of the β-decay rate of isotopes immersed in an ECR plasma. The experiment consists of a numerical modelling of plasma, including electron and ion dynamics, and the consequent estimation of the lifetime
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to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect
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1994 and has received international awards in recognition of its educational model and the quality of its academic activity. The Doctoral Candidate will work in the UOC’s Research Hub, located in the 22
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virology, hostvirus interactions, and mechanisms of viral pathogenesis. This position requires technical expertise in molecular biology, cell culture, and animal models, as well as strong organizational and
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Research Associate - Livestock Spatial Modeler The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work
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regional R&D initiative focused on the production of Sustainable Aviation Fuels (SAF). The requirements are as follows: Tasks Description: Optimization of anaerobic culture conditions of microorganisms aimed
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. Your key responsibilities will be to: contribute to the design and analysis of epidemiological and clinical studies, including longitudinal and time-to-event data apply advanced statistical modelling