179 application-forms-"https:"-"https:"-"https:"-"Keele-University" Fellowship positions in Norway
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. data-driven prediction of insurance premiums and associated quantification of uncertainty. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in
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admission requirements: PhD in Social Science Applicants must meet the grade requirements for PhD admission (typically a B average in the master’s degree). Strong English skills, both written and oral
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programme is a prerequisite. See admission requirements: PhD in Social Science Applicants must meet the grade requirements for PhD admission (typically a B average in the master’s degree). Strong English
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. Admission to the faculty’s PhD programme is a prerequisite. See admission requirements: PhD in Social Science Applicants must meet the grade requirements for PhD admission (typically a B average in the
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lasting impact on culture and media, healthcare, and public policy. Gender-InSIGHT consists of 15 doctoral projects, all of which are now open for applications (you can find a list of all projects
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fields of study may be (but are not limited to) climate, statistics, and applied natural sciences. The master's degree must be completed by the application deadline, with a grade of B or better
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this, and expected to be in the upper segment of their class with respect to academic credentials. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in (exo
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the application as these documents form the basis of the application assessment. The documents must be in English. Please note: the application will only be assessed on the basis of the information we have received
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(including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or
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modelling tools. This PhD position aims to achieve to develop by the use of automatic picking, rather than manual, travel time picks, and the application of machine learning methods to reliably pick relevant