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. Experience with the use of large datasets. Strong skills in computer programming and computational statistics. Very good oral and written skills in English. Strong academic background documented with
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partners are a part of this project. The ideal candidate would combine strong computational skills with domain knowledge in either acoustics or fluid mechanics, plus demonstrated ability to apply AI/ML
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with national research data infrastructures such as Sigma2, Norway's national e-infrastructure for research data and advanced computing. Scientific focus The position will contribute to the scientific
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framework, along with at least three ideas for academic articles (see below). The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science
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. teaching duties. The department teaches in all the sub-fields mentioned above. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science
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with at least three ideas for academic articles (see below). The successful candidate will be part of the Social Science Faculty’s PhD programme. The work is expected to lead to a PhD in political
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for applying for the position. The names and contact information for two reference persons. One of these must be the main advisor from the PhD programme. CV Project proposal (4-5 pages excluding reference list
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our PhD program that include an educational component. This position is well suited for candidates who are highly motivated by fundamental science and excited about questions related to capillary flows
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strong and international professional environment Career guidance throughout the postdoctoral program and together with you we will prepare a career plan, which contains the skills and knowledge you will
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respect to academic credentials. Required qualifications: Applicants must hold a degree equivalent to a Norwegian doctoral degree in statistics, applied mathematics, machine learning, computer