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the breeding of complex resilience traits for several crops in different growing systems. This collaborative effort involves four universities and numerous companies. It encompasses scientific research, data
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diversity, and therefore particularly encourages women and those outside the gender binary to apply for the position. For additional information, please contact Assoc. Prof. Johanna Björklund (johanna
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Astronomical Institute, the last 2 years at Tartu Observatory. The PhD research project has the purpose to analyze and combine the weblike distribution of galaxies in large galaxy redshift surveys, with
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networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In this project
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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as well, resulting in increased survival. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour flowcytometry (up to 27
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relevance. Additional information Contact persons: Dr. Max Coveney (coveney@ese.eur.nl ) Dr. Thomas Peeters (peeters@ese.eur.nl ) Prof. Enrico Pennings (pennings@ese.eur.nl ) Applying We are looking forward
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. Starting date: as soon as possible or according to mutual agreement. Information For more information contact the project supervisor Assoc. Prof. Max Yan (max.yan@umu.se ) or the Head of Department Prof
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Technology) Dr Riemer Vegter (YAG, UMCG, Assistant Professor in Human Movement Sciences) Prof. Martijn Wieling (Faculty of Arts, Professor of Groningen Language and Culture) Prof. Han Houdijk (UMCG, Professor
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band score of at least 6.5, internet. TOEFL test (TOEFL-iBT) showing a score of at least 90, or a Cambridge CAE-C (CPE). For additional information, please contact Prof. Dr. Erik Koffijberg