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This 3-year Postdoctoral Research Scientist Position is embedded within the EU-funded project “Risk and Resilience in Developmental Diversity and Mental Health” (HORIZON-HLTH-21). The R2D2 consortium is an international collaboration of 26 European and associated partners (Australia, Canada and Israel). R2D2 adopts a new approach to improve the well-being of individuals with neurodevelopmental disorders (NDDs) by studying not only risk for disorder, but enhancing and promoting resilience towards NDDs.
Research at the Max Planck Institute (MPI) for Psycholinguistics, as part of R2D2, will focus on modelling the genomic influences underlying human behaviour, especially social behaviour. Analyses will include information from population-based cohorts (e.g. the EAGLE consortium) and clinical collections (e.g. samples from the Simons Foundation) to broaden the understanding of the dimensional nature of NDDs. Methods will include a wide range of structural equation modelling techniques applied in the 'Genomics' field, including lavaan and genomicSEM.
The successful applicant will work closely with Beate St Pourcain as part of the population genetics of human communication group at the MPI for Psycholinguistics, Nijmegen.
The successful applicant will hold, or shortly expects to obtain, a PhD qualification in Statistical Genomics, Genetic Epidemiology, Medical Statistics or a related quantitative discipline involving the interrogation of 'omics' datasets. A strong computational background with knowledge of shell, R, Python or Perl or another programming language is required, and familiarity with structural equation modelling software (e.g. lavaan) or twin modelling approaches (e.g. OpenMx). Knowledge of one or more of the following data-analytical approaches is an advantage:
'Genomics' methods to analyse the genetic architecture of human phenotypes
Integration of biological information from a wide range of (publicly available) data resources
Familiarity with the genetic architecture of Autism Spectrum Disorder (ASD) is a further advantage.
Fixed-term contract: 3 years.
What we offer you
The Max Planck Institute (MPI) for Psycholinguistics is a world-leading research institute devoted to interdisciplinary studies of the science of language and communication, including departments on genetics, psychology, development, neurobiology and multimodality of these fundamental human abilities.
We investigate how children and adults acquire their language(s), how speaking and listening happen in real time, how the brain processes language, how the human genome contributes to building a language-ready brain, how multiple modalities (as in speech, gesture and sign) shape language and its use in diverse languages and how language is related to cognition and culture, and shaped by evolution.
We are part of the Max Planck Society, an independent non-governmental association of German-funded research institutes dedicated to fundamental research in the natural sciences, life sciences, social sciences, and the humanities.
The Max Planck Society is an equal opportunities employer. We recognize the positive value of diversity and inclusion, promote equity and challenge discrimination. We aim to provide a working environment with room for differences, where everyone feels a sense of belonging. Therefore, we welcome applications from all suitably qualified candidates.
Our institute is situated on the campus of the Radboud University and has close collaborative links with the Donders Institute for Brain, Cognition and Behavior and the Centre for Language Studies at the Radboud University. We also work closely with other child development researchers as part of the Baby & Child Research Center.
Staff and students at the MPI have access to state-of-the-art research and training facilities.
The population genetics of human communication group is led by Dr Beate St Pourcain and embedded within the Language & Genetics Department at the MPI. Research within the group focuses on (i) studying the genetic basis of social communication, language and interaction in population-based and clinical cohorts and (ii) developing statistical modelling approaches.
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