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Field
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the relevant topics of the PhD project and associated areas such as experimental design, laboratory methods, as well as statistical analysis. The candidate must have the ability to work independently and at
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methods. These results will be compiled into a record of glacier retreat from the LIA to the present within the Scandinavian Mountain region at human-relevant scales. Qualifications and personal qualities
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development of computer systems for data analysis, development of machine learning methods, and the clinical use of technology. Within the research groups you will therefore work together with computer
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employment period is three years. A premise for employment is that the PhD Research Fellow will be enrolled in USN's PhD-program in Technology within three months after accession. About the PhD-project
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-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling in the open-source computational fluid dynamics
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methodological capacities as well as documented expertise in computational methods. Experience with high performance computing is strongly preferred. Experience from applied work in change and anomaly detection is
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employment that the PhD Research Fellow is enrolled in USN’s PhD program in Nautical Operations within three months of commencing the position. About the PhD-project The PhD project will focus on research
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employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting
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defence of your doctoral thesis is a prerequisite for employment. In addition to your PhD, it is an advantage if you have: experience with ocean numerical model systems, such as the Regional Ocean Modelling