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, laying the foundations of next generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language
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requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up
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experiments of a synthetic system. These droplets are found in a wide range of cellular processes and play a role in infections, cancer and diseases. The PhD work will involve theoretical and computational
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for databehandling Utløpsdato: ett år Navn: CookieInformationConsent Leverandør: www.jobbnorge.no Databehandlingsansvarlig: Formål: Saves the selected language for the website. Utløpsdato: 2 dager Navn
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for databehandling: Cloudflare - Personvernregler for databehandling Utløpsdato: Session Navn: _cfuvid Leverandør: .hsforms.com Databehandlingsansvarlig: Formål: Saves the selected language for the website. Utløpsdato
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international collaborations and is a unique opportunity to work in an interdisciplinary environment. You will work with The PhD student will: Develop theoretical and computational models for interfacial flow and
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such as register data. The research fellow must take part in the faculty’s approved PhD program and is expected to complete the project within the set fellowship period. The main purpose of the fellowship
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candidate should have prior knowledge of quasi-experimental methods and, preferably, large data sources such as register data. The research fellow must take part in the faculty’s approved PhD program and is
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research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD
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performance computing Documented research experience with large-scale human data (quality control and analysis) Fluent oral and written communication skills in English and a Scandinavian language Personal