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evaluated after the closing date for applications. Attachments must be in English or a Scandinavian language, and any translations must be certified. It is the applicant's responsibility to ensure that all
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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 English. Please note: the
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order for your application to be processed. Documents must be submitted in English or a Scandinavian language. Any translations must be notarised. Original versions must be presented if you are invited
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with historical sources and/or quantitative methods Knowledge of the study area / period of study Teaching experience Good written and oral language skills in Norwegian or another Scandinavian language
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payback time. The SolKit project includes several national partners, among them the research organization SINTEF Community. The PhD candidate is expected to collaborate with other PhD students, research
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candidate community more specifically, will be assigned importance as well. We offer An exciting and international scientific community with an opportunity for professional development Opportunity to work in
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programming skills in relevant languages and in particular in Python Competency and experience in AI methods Good oral and written communication skills in English
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Experience in computational cardiovascular biomechanics Experience in medical image segmentation Experience in Python programming or a similar programming language Experience with machine learning models Good
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to the faculty's Doctoral Programme (https://www.ntnu.edu/studies/phkjpros) All applicants must be able to communicate fluently in English (in speaking and writing
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technology, urbanisation and digital vulnerability. The PhD programme has a nominal length of three years of full-time study and comprises 180 ECTS. The working language of the programme is English. The