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conventional simulators. Finite element-based methods such as Mixed-Finite-Element or Control-Volume methods are convenient thanks to their suitability for complex unstructured grids. Applications are sought
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based on exceptional scientific achievements and the submission of an innovative research proposal aligned with KAUST’s strategic priorities and the Vision 2030 of Saudi Arabia. Innovation
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-career scientists and engineers from around the world. Fellows receive funding to pursue independent, cutting-edge research at KAUST for three years. Selection is based on exceptional scientific
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and algorithms for efficient learning of dynamical models of micro-states evolving over time including machine based learning of derivation of coarse grained representations; (ii) implementation
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generous funding for research, a cutting-edge genomics facility, and top-tier high-performance computing infrastructure, fostering an excellent environment for genomics-based research. The position is fully
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will include a competitive salary based on the candidates qualifications; other benefits include medical and dental insurance, free furnished housing on the KAUST campus, annual paid vacation, and other