37 parallel-processing-bioinformatics-"https:" PhD positions at Utrecht University in Netherlands
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, please contact Daniala Weir at d.l.weir@uu.nl . Do you have a question about the application procedure? Please send an email to science.recruitment@uu.nl . Website for additional job details https
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) Epidemiology, Bioinformatics or a related field; demonstrated expertise in programming and quantitative data analysis in R/Python; a strong interest in high dimensional omics and exposome research; excellent
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. (Ting-Feng) Lin at t.f.lin@uu.nl . Do you have a question about the application procedure? Please send an email to science.recruitment@uu.nl . Website for additional job details https
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-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation challenges
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processes using temperature loggers together with existing frost-cracking and thermal-stress models. Measuring sediment supply from rockfalls and debris-flow sediment movement using UAV surveys carried out
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inclusive environment in which everyone can flourish and contribute. A valid Certificate of Conduct (VOG) is required for this position. This will be requested as part of the application process. Knowledge
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. However, the traditional linear approach—focused on relationships between factors and outcomes—often fails to capture the mechanisms and dynamic processes that shape outcomes during engagement. Integrating
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knowledge is established, the processes of transport and burial during turbidity current events remain poorly understood. Previous experimental research into turbidity currents has been fundamental in
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transformed not only how we read, but also how we learn to read, bringing both new challenges and exciting opportunities. To fully understand these developments, this project explores the processes underlying
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be subjected to specific approval by the Board for Conferral of Doctoral Degrees before the candidate can be accepted in the PhD programme. Furthermore, you should have: Experience in processing