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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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research in the field of modern high voltage polymer electrolytic capacitors, develop models for lifetime prediction, methods to predict and test for reliability, understand physics of failures at elevated
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applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https
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procedures – University of Copenhagen (ku.dk) . The recruitment process The following criteria are applied when assessing PhD applications: Research qualifications as reflected in the project proposal. Quality
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advanced materials. Experienced in both strain development and related modelling & data analysis. Experienced with processes of biomanufacturing, including fermentation, downstream processes and scale-up
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. Experienced in both strain development and related modelling & data analysis. Experienced with processes of biomanufacturing, including fermentation, downstream processes and scale-up. Proven leadership in
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of the project proposal the applicant’s level of academic aptitude and assessed ability to complete the project within the framework of the PhD programme You can read more about the assessment procedure and
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for grant recipients and funding institutions. Furthermore, the research aims to improve our understanding of 1) inputs to the assessment and selection processes (e.g., application content, applicant team
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numbers and e-mail) of at least two referees details for at least 2 referees who can vouch for your skills. Shortlisting may be used in the assessment process. Incomplete applications and applications
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the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters. Applications will be assessed by