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to this project. Curriculum vitae. Copies of PhD diploma and a copy of the PhD thesis. Copy articles, book chapters or other academic texts that you feel represents your work best. Contact details of two academic
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to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows for accurate simulation of time-dependent flows, enabling sensitive applications
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to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows for accurate simulation of time-dependent flows, enabling sensitive applications
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of simulations extending to 2300. The simulations will be from two international projects aiming to inform the Intergovernmental Panel on Climate Change Seventh Assessment Report (AR7): PROTECT (EU Horizon 2020
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with different research expertise and supervising current PhD students in the group. About You Candidates should have a PhD (or close to completion) in mechanical engineering, biomedical engineering or
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work. The candidate is expected to support current PhD students in the group, write and publish research papers. About You Candidates should have a PhD in mechanical engineering, orthopedic engineering
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Monte Carlo charged particle simulations to model energy deposition and generation of secondary particles, and collaborate with a team of researchers to explore heating, melting, vaporization, and general
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for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or nearing completion) Good knowledge of computer vision algorithms for image and video
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Job Description Job Responsibilities -Conduct molecular dynamic (MD) simulations of the interactions of biological toxins including alpha-toxin, pyocyanin, and pyoverdine with clay natural and modified
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detector operations, data analysis, event simulation, and publication of research results. Job Description Conduct research in experimental nuclear physics with members of the University of Kansas CMS