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physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Experience with molecular dynamics simulations (with GROMACS, OPENMM, LAMMPS, NAMD, AMBER, etc
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candidate has either analytical or computational skills (exact diagonalisation or tensor network techniques) and research experience in either many-body quantum physics, statistical mechanics, statistical
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated...
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The University of Southampton is a world-leading institution for aircraft noise research, home to the Rolls-Royce University Technology Centre in Gas Turbine Noise at the Institute of Sound and Vibration Research (ISVR). Advanced Air Mobility (AAM) presents an opportunity to revolutionize public...
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QUALIFICATIONS: Applicants must be ABR Board-certified or eligible, complete a US or Canadian residency program and be eligible to obtain an unrestricted Georgia medical license. NOTE: Position tasks are generally
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discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - The School
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background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one
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functional genomic studies Familiarity with omics-based approaches (e.g., single cell and spatial transcriptomics, genomics, or proteomics), preferably with experience in the computational analysis and
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including students, researchers, and faculty. Excellent computer skills including Microsoft Word, Excel, PowerPoint, and statistical software such as R. Experience with python is preferred. Experience with
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent