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Field
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partners. A good working knowledge of programming tools like MATLAB or Python, and familiarity with aircraft systems modelling, artificial intelligence applications, and simulation tools will be highly
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of immunology and RNA biology, and to carry out activities to develop our research expertise in mouse models, T cell immunity, molecular biology and multi-omics. You will collaborate within a multidisciplinary
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models, and to understand how elements heavier than iron are formed in explosive stellar environments. The current project is closely related to the research activity “Nuclear Properties” of the Norwegian
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Campus in North Austin. Purpose This position aims to advance innovative processing and acquisition methodologies for land DAS and dense surveys, focusing on synthetic modeling, 4D analysis, and seismic
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the results. Build theoretical models to describe or explain the experimental or numerical results. Help organize the research lab. Help train other members of the lab, such as undergraduate students. Job
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related orthopaedic trauma. In particular, contemporary cell / molecular biology in vitro approaches as well as clinically relevant small and large animal models of orthopaedic trauma are utilized
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well as of the cyclone family itself. The candidate will investigate the mechanisms by which moisture is drawn into and processed within cyclone families using reanalyses, idealised and realistic model simulations
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, or similar programming languages. Familiarity with kinetic modelling, simulation, and parameter estimation. Knowledge and experience with biological database creation and data management will be a plus A
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communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic
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models for simulating kinetic turbulence, and analysis of in-situ data from spacecraft. Your skills and experience/Kā pūkeka me kā wheako Applicants should have Bachelor Degree minimum and a research