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the application of rock physics models, Bayesian inversion methods, and machine learning algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or
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will be adapted to the candidate’s background and the evolving needs of the center. Possible directions include the application of rock physics models, Bayesian inversion methods, and machine learning
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competence in seismic data analysis is a requirement. Experience from or competence in computer programming (MATLAB, Python) is an advantage. Applicants must be able to work independently and in a structured
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a requirement. Experience from or competence in computer programming (MATLAB, Python) is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
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snow in local and regional climate models is poorly constrained, leading to uncertainties in estimating mass loss through sublimation and snow redistribution. The PhD candidate will develop and execute
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estimating mass loss through sublimation and snow redistribution. The PhD candidate will develop and execute a field campaign focused on observing the role of blowing snow on sublimation and redistribution
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awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree related to ALICE or ATLAS. Experience from working with
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condition of employment that the master's degree has been awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree
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publication of research or research communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities
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communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities' PhD Program pt. 2.1 . Applicants must