Postdoc, University of Texas at Austin (USA)

The University of Texas at Austin, Department of Psychology and Population Research Center

Postdoc in Statistical Genetics, PI: Elliot M. Tucker-Drob

Summary: Postdoctoral Research position in Austin, Texas to work under the supervision of Dr. Elliot Tucker-Drob in the development and application of multivariate statistical methods in psychiatric genetics and sociogenomics. This work is currently funded by grants from the National Institutes of Health (R01AG054628) and the Jacobs Foundation. The position is available September, 2018 (earlier and later start dates are negotiable) and includes benefits. The position is for 2 years with the option for renewal.

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Postdoc, The Max Planck Institute for Psycholinguistics, Nijmegen (The Netherlands)

Postdoc in Statistical Genomics/Genetic Epidemiology

The Max Planck Institute (MPI) for Psycholinguistics, Nijmegen, the Netherlands, is offering a Postdoctoral Research Scientist position in Statistical Genomics/Genetic Epidemiology.

The host research group, led by Dr Beate St Pourcain, investigates the genetic basis of social communication, language and interaction in large population-based cohorts.
http://www.mpi.nl/people/vacancies/postdoctoral-research-scientist-in-statistical-genomics-genetic-epidemiology-1

(Starting salary: €47,399 – €52,573 p.a.)

Postdoctoral fellowship, genetics of mental disorders, Oslo (Norway) and Bristol (UK)

We have an exciting three-year postdoctoral position to study genetic risk factors for mental disorders and their manifestations in traits, symptoms and diagnoses during different developmental stages from birth to adulthood. Additional aims are to examine the potential influences of gender and environmental exposures on whether genetic risk factors for mental disorders are manifested in mental health problems. The postdoctoral fellow will work on novel data from the Norwegian Mother and Child Cohort Study (MoBa), including longitudinal follow-up of more than 100,000 children and their parents from pregnancy onwards, genotype data and linkage to national registries.

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Postdocs, Virginia Institute for Psychiatric and Behavioral Genetics (USA)

The Virginia Institute for Psychiatric and Behavioral Genetics (VIPBG; vipbg.vcu.edu) is pleased to invite applications for postdoctoral training with a focus on mental health. The Institute offers a rich interdisciplinary training environment.  Institute faculty include leaders in the fields of behavioral and psychiatric genetics and represent a wide range of scientific backgrounds from molecular and statistical genetics to epidemiology, psychology, psychiatry.

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Postdoctoral Positions in Statistical Genomics, Boulder (USA)

We are looking for bright, motivated postdoctoral applicants with experience in programming, statistics, genetics and/or behavioral sciences to help us develop methods to elucidate the genetic architecture of complex traits using genome-wide data. This NIH funded work is being conducted at the Institute for Behavioral Genetics (IBG), University of Colorado, Boulder (Matthew Keller, Luke Evans, & Matt Jones) in collaboration with colleagues at the University of Queensland, Australia (Peter Visscher & Jian Yang).

 

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Postdocs, Department of Psychology at Emory University, Atlanta (USA)

The Behavioral Genetics of Addiction Laboratory (PI information: http://psychology.emory.edu/home/people/faculty/palmer-rohan.html) located in the Department of Psychology at Emory University, is looking for self-motivated and enthusiastic Postdoctoral Fellows to work on statistical genetics and epidemiological studies of substance use, psychopathology, and their relation to cognitive functioning.

We mainly focus on whole genome and systems-based genetic studies that integrate multi-omics data (DNA, RNA, microRNA, Methylation, Proteomics data) into our models predicting complex traits and diseases. We also work on longitudinal studies that examine the development of addictive behaviors in the context of personality and cognitive differences, as well as, a number of familial and individual-level demographic characteristics.

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