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areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. You will be creating data-driven algorithms which can solve state estimation problems in fluid
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have experience in one or more of these subject areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. What you would be doing: You will be creating data
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ASTRONOMY (BL-AST-IUBLA) Astronomy has a long history at Indiana University, beginning in 1856 with Daniel Kirkwood. The department was founded in 1895. Our doctoral program has produced over 100
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a closely related field. A strong background in quantum mechanics, solid-state physics, and computational modeling. Previous experience with density functional theory or many-body physics (beneficial
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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computational chemistry and biochemistry studies as directed by Prof. William Goddard within the Materials and Process Simulation Center in the Division of Chemistry and Chemical Engineering Essential Job Duties
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to prevent and treat decompensated cirrhosis and acute-on-chronic liver failure (ACLF) and reduce mortality by investigating the human gut microbiome. The goal is to identify predictors and mechanisms
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mechanisms through the production of non-coding RNA molecules, or through chromatin signatures that correlate with ncRNA production. We are looking for a researcher enthusiastic about mechanistic Plant
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) Master degree required for PhD vacancy3) First and Master degree must be in Mechanical Engineering4) Experience with CFD simulations and Fluid Dynamics is a plus.5) Publications are preferred for PhD
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour