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The large amounts of omics data nowadays available have the potential to unravel biological mechanisms underlying human diseases. This requires curious and highly motivated individuals who want to push boundaries in the statistical modelling of omics data. As a PhD candidate at the Department of Mathematics, you get to explore the fascinating potential of statistical methods in a welcoming and proactive atmosphere, together with a diverse group of researchers.
The Department of Mathematics at Radboud University is seeking an outstanding and highly motivated PhD candidate to develop statistical methods for omics datasets. Omics research has the potential to unravel biological mechanisms underlying human diseases. Ongoing technological advances deliver diverse omics datasets and their analysis requires novel methods. Developing these methods using multivariate analyses techniques such as functional principal component analysis and partial least squares is the topic of this project.
You will work on a PhD project under the supervision of Prof. Jeanine Houwing-Duistermaat. You will develop new statistical methods, apply them to omics datasets, interpret the results, and implement the method in software packages. The position is funded for four years and has a light teaching load (10%). You will be encouraged to participate in relevant group meetings, conferences, workshops and seminars, and to communicate your findings through publications in peer-reviewed journals. Upon successful completion, you will be awarded a PhD degree from Radboud University. We particularly encourage applications from underrepresented groups.
Fixed-term contract: You will be employed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 2.5 years (4 year contract) or 3.5 years (5 year contract).
Statistical methods is one of the research areas of the Department of Mathematics. The field is represented by Prof. Jeanine Houwing-Duistermaat and Prof. Eric Cator.
The department has a friendly and welcoming atmosphere with researchers in related areas including stochastics and applied mathematics. There is a good balance of junior and senior staff, and of Dutch and international researchers. We regularly organise research seminars as well as various informal events throughout the year. Moreover, statisticians at Radboud University are part of a larger international network of statisticians who regularly interact and meet for seminars and other events.
The Mathematics Department has more than 20 PhD candidates.
Houtlaan 4, 6525 XZ, Nijmegen
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