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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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: Investigation of precipitation and crystallization processes in phosphorus recovery using experimental and numerical methods Supervisor: Prof. Sergiy Antonyuk C2: Experimental investigation and modeling
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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services. The innovative application of machine learning to exploit satellite data within numerical modelling links to other scientific applications beyond those of the atmosphere. The project builds
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. Faculty cover a wide range of research topics and methods and belong to the top 10 ISOM research groups in Europe . You will be able to benefit from the department’s strong research focus and its numerous
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framework capable of accurately predicting pollutant transport and dispersion in coastal waters. By combining high-fidelity numerical simulations with data driven surrogate models, the proposed research aims
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focus and its numerous resources (e.g., databases, research seminars, brown bags, career planning, skills-enhancement workshops, international conferences, contacts with practitioners, etc
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fabrication, with the ability to prototype and test light delivery and optical feedback systems. This role also involves conducting numerical modelling of light propagation in biological tissues, contributing
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Website: https://fbri.vtc.vt.edu/research/labs/shin.html The successful candidate will play a central role in supporting research projects, managing the mouse colony, and serving as the “go-to” person for
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of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation’s strongest economies. Northwest Arkansas is also quickly