144 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Technical University of Denmark
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file. The file must include: Application (cover letter) Vision for teaching and research for the tenure track period CV including employment history, list of publications, H-index and ORCID (see http
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for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation
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. Further information Further information may be obtained from Professor Peter Vilhelm Skov, e-mail: pvsk@aqua.dtu.dk You can read more about Section for Aquaculture at https://www.aqua.dtu.dk/english/about
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;dtu.dk You can read more about BRIGHT at https://novonordiskfonden.dk/en/projects/bright/ and you can read more about the hiring department at https://www.biosustain.dtu.dk/ If you are applying from
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sequence analysis Single cell analysis Protein structure prediction Cancer multiomics analysis Genotype to phenotype mapping You are expected to contribute to strengthen the deep learning focus
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. Further information Further information may be obtained from Prof. Ivan Mijakovic: ivmi@biosustain.dtu.dk You can read more about the hiring department at https://www.biosustain.dtu.dk/ If you are
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Further information may be obtained from Assistant Professor Lesia Mitridati (lemitri@dtu.dk ). You can read more about DTU Wind and Energy Systems Department at https://wind.dtu.dk . If you are applying
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to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare
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regarding the positions, please contact Rajmund Mokso (rajmo@dtu.dk). You can read more about the department https://physics.dtu.dk and the 3D imaging center https://3dim.dtu.dk . If you are applying
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to exploit the full potential of algebraic curves in the construction and classification of locally recoverable (LRC) codes. The goal of CREATE is developing in a multidisciplinary team the most suitable