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hydro-thermal conditions. Key Responsibilities: Design, develop, and set up experimental systems for novel fracturing and faulting modeling Conduct advanced numerical modeling and inversion studies
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experience with at least one programming language. Preferred Qualifications: Experience with numerical modeling and/or data analytics with big data. Broad knowledge of hydrology. Background Investigation
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The appointees will assist the project leader in the research project - “Mathematical study for second order, decoupled, and unconditionally stable numerical method for a phase field ferrohydrodynamics model with
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Context Statement Position Overview A postdoctoral position is available in the Department of Physics at the University of Idaho. The primary focus of this position is advancing numerical relativity methods
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the opportunity of a 2-year extension) Āu Mahi | What You Will Do As a Postdoctoral Research Fellow in CEE you will apply specialist research-related skills in numerical reservoir modelling, develop new knowledge
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University. Key Responsibilities: Conduct research on methods and approaches to support air traffic management studies and applications. Develop, test, and evaluate analytical models, algorithms, and tools
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understanding how tropical forests and tropical deforestation impact local and regional climate with a focus on temperature and rainfall. In this project you will use state of the art numerical climate models
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the model to constrain future calving losses from the Antarctic Ice Sheet. Candidates are expected to hold a PhD in glaciology or related discipline, including experience of remote sensing and/or numerical
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quantum many-body theory with a focus on quantum impurity models (particularly Kondo model). Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques
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, an expansion of a novel, data-driven, decision support system for UK dairy farmers, supported by Innovate UK. The core task will be developing, expanding, and automating sophisticated simulation models