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postdoc focused on developing new cement formulations and characterization techniques. For algorithms and software there will also be the opportunity to work with the team behind the Core Imaging Library
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magnetism. Qualified applicants must have PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open-source software
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to developing software solutions for data collection, signal processing (e.g., drift correction) and visualization. Ultimately, the goal is to demonstrate the prototype at the seabed. The candidate is expected
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interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application. Proven experience with computer vision tool/software development using Python and/or Matlab
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strong background in scientific software development and computational modelling, with experience in physics, geophysics. materials science, computation, engineering, or a related discipline where they
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of complex systems. Good knowledge of modelling and the use of open-source as well as dedicated commercial FEM/FVM software packages. Excellent English proficiency in written and oral form. The ability and
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record of working with both GUI-based and code-based applications to optimize process simulations and environmental assessment software's (please highlight the specifics in the cover letter). A sound