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to be used. The final project description will be developed in cooperation with the supervisor. Want to know more about the position? For further information about the position, please contact Dr Carly
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colleague ourselves. Acquisition in response to this vacancy will not be appreciated. Would you like more information? Prof. C.P. Slomp (Caroline) Professor - Microbiology caroline.slomp2@ru.nl Last modified
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these processes using large-scale population genomic data from modern-day and prehistoric humans. The PhD position is part of the The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS
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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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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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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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values change over time and subject to which factors phylogenetic analyses of evolutionary trajectories across cultures Main supervisor will be Prof. Dr. Andrea Bender (UiB); co-supervision will be
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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