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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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enrolled in the PhD program of the Faculty of Educational Sciences and is required to take 30 credits of coursework. The research fellow is expected to complete the PhD degree within the fellowship period
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computing language. Experience with machine learning methods is a plus. The research fellow must take part in the faculty’s approved PhD program and is expected to complete the project within the set
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will include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program
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qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in the social sciences or the humanities. The master’s degree must be
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will include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program
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for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in the social sciences or the humanities. The master’s degree must be of high quality (grade A or B) and within a
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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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will include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program
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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