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Norwegian). Desired qualifications Good experience/knowledge in electrical machines, synchronous generators, applied signal processing, applied mathematics, and finite element analysis. Programming experience
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mathematics, and finite element analysis. Programming experience in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing
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The successful candidate will be associated with the research project on the development of metal-organic frameworks (MOFs) and composites for water purification and removal of micropollutants such as PFAS, amines
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project on the development of metal-organic frameworks (MOFs) and composites for water purification and removal of micropollutants such as PFAS, amines and other organic substances. The project is part of
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desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality theory, sequential inference, computational
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of Humanities’ PhD program . The program includes a mandatory training component equivalent to 30 ECTS, which accounts for six months of the total employment period. Qualifications and personal qualities
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allocated to the research project itself. As a PhD candidate, you will be enrolled in the Faculty of Humanities’ PhD program . The program includes a mandatory training component equivalent to 30 ECTS, which
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experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality
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the Faculty of Humanities’ PhD program. The program includes a training component of 30 ECTS, corresponding to six months of the employment period. Qualifications and personal qualities: The applicant must have
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allocated to the research project itself. As a PhD candidate, you will be enrolled in the Faculty of Humanities’ PhD program. The program includes a training component of 30 ECTS, corresponding to six months