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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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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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more (for an overview of these technologies, see http://behaverse.org/ ). Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral
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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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approach Supervisors Dr Defne Abur (YAG, Faculty of Arts, Assistant Professor of Speech and Speech Technology) Dr Riemer Vegter (YAG, UMCG, Assistant Professor in Human Movement Sciences) Prof. Martijn
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phylogenetic analyses of evolutionary trajectories across cultures Main supervisor will be Prof. Dr. Andrea Bender (UiB); co-supervision will be determined depending on the specialization chosen by the candidate
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, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project