860 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" "LaTIM Brest" positions in Denmark
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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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Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
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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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highly skilled employees. More information can be found here . What we offer Work with advanced analysis equipment An exciting interdisciplinary environment with close collaboration between laboratory
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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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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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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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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