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Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
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Langelandsgade 140, 8000 Aarhus C, and the area of employment is the Department of Chemistry, Aarhus University and related departments. Further information about the position may be obtained from Associate
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collaboration with staff scientists in the team - publish scientific articles based on the data you generate - present research findings at research meetings and conferences Your profile: We seek candidates
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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attention. We ask what can be done with experimental lab data in cases with variations of anisotropy. In addition to research tasks, you will take courses for 30 ECTS and both general and specific topics, and
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registration number) – in this case, the CPR number must be crossed out. Applicants are encouraged to read the information "How to apply" before applying. If you experience technical problems when uploading
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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systems. Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to Assoc. Prof. Leonardo Midolo
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development, supervision, and external funding initiatives. What we expect Applicants must hold a PhD in Energy Informatics or in a closely related field such as Artificial Intelligence, Data Science, Computer