We have an exciting three-year position as post doc researcher available at the Norwegian Institute of Public Health (NIPH) in Oslo funded through the Research Council of Norway in collaboration with National Institute of Mental Health, USA. The successful applicant will work on Norwegian genotype and National Registry data including novel data from 230,000 participants (children and their parents) from the Norwegian Mother, Father and Child Cohort Study (MoBa). Application deadline: April 11, 2021, Start date: by agreement
Postdoctoral Position – Statistical Genetics/Data Science/Whole Genome Sequencing of Autism
The Sebat laboratory at UCSD (http://sebatlab.org) is recruiting a postdoctoral fellow in statistical genetics/data science to lead a project on the whole-genome analysis of autism spectrum disorder (ASD). Our lab is compiling large datasets of whole genomes, exomes and detailed clinical phenotypes on ASD families. The goal of this study of understand how the combined effects of rare variants (SVs, SNPs, indels and STRs) and common polygenic risk influence behavioral traits and determine risk for ASD.
Postdoctoral Fellows – 3rd generation genome sequencing of autism
The Sebat laboratory at UCSD (http://sebatlab.org) is developing novel approaches for the identification of risk genes for neuropsychiatric disorders, and we are initiating a genetic study to investigate how complex structural variation (SV) of the genome contributes to risk for human disease. We seek to identify novel genetic risk factors for autism by sequencing the genome using combination of long read (PacBio) and short read (Illumina) sequencing technologies.
The Minnesota Center for Twin and Family Research is recruiting a postdoctoral fellow. The Center is led by a group of Principal Investigators, including Drs. Scott Vrieze, Monica Luciana, Sylia Wilson, William Iacono and Matt McGue. Since its inception, the Center has provided an intellectually rich environment and research tradition on the nature and origins of individual differences in human behavior and physiology. The postdoctoral fellow will have opportunities to work on large-scale genome-wide association studies of addiction and psychopathology.
Post-doctoral training opportunities are available through an NIH-funded T32 training grant administered through the National Institute on Drug Abuse (NIDA). IBG is one of the world’s leading institutes for genetic research on behavior. Internationally renowned research projects include the Colorado Adoption Project, the Colorado Twin Study and Longitudinal Twin Study, the Colorado Learning Disabilities Research Center, the Colorado Drug Research Center, and the Adolescent Brain and Cognitive Development (ABCD) Study. IBG is home to a DNA repository (about 40K samples) for research on human behavior, as well as studying behaviorally and genetically defined lines of selected, recombinant inbred, transgenic, and knockout-gene mice. Many faculty members work collaboratively across disciplines to study the underlying genetic and neurobiological factors contributing to risk for substance abuse.
The University of Minnesota seeks postdoctoral fellows interested in conducting innovative multidisciplinary research in domains including behavioral neuroscience, clinical neuroscience, clinical psychology, and/or behavioral genetics. Fellows are supported by a T32 training grant funded by the National Institutes of Health’s National Institute on Drug Abuse. The purpose of the training program is to provide research and training opportunities to encourage the development of multidisciplinary skills within or across the above domains as they relate to drug use, addiction, and related psychopathology. There is a particular emphasis on using large-scale neuroimaging and genetic datasets to address questions pertinent to addiction.
Post Doctoral Fellow or Research Associate, School of Public Health, Indiana University. The postdoctoral fellow or research associate will join a multi-institutional team in Bloomington, Indiana, of engineers, epidemiologists, chemists, and risk communication specialists to work on a unique set of projects combining field research and machine learning to untangle the influence of contaminants in drinking water on human health. The research is funded by the U.S. Environmental Protection Agency and U.S. Department of Housing and Urban Development. The primary goal of these project is to use “big data” and advanced machine learning methods to analyze disparities in exposure to contaminated drinking water in the United States and how those disparities influence human health. The projects all include a field research component involving engagement with households to collect environmental samples and health data. The plan is to build predictive modeling tools that can be freely used by communities, public health departments, and environmental agencies to identify communities at risk and to plan interventions.
The Survey Research Center (SRC) at the University of Michigan’s Institute for Social Research (ISR) invites applications for a full-time position of Assistant Research Scientist for the Panel Study of Income Dynamics (PSID).
An exciting opportunity has been created for an enterprising scholar interested in biosocial approaches to health and aging. This position will be involved at the beginning of a new effort to expand collection, processing, and evaluation of genomic data from multigenerational families. Building on the experience of the CDS collection of saliva from children and co-resident parents, this new project will collect saliva from non-resident family members, including grandparents.
We have an exciting three-year position as post doc researcher available at the Norwegian Institute of Public Health (NIPH) in Oslo funded through the Research Council of Norway in collaboration with National Institute of Mental Health, USA. The successful applicant will work on Norwegian genotype and National Registry data including novel data from 230,000 participants (children and their parents) from the Norwegian Mother, Father and Child Cohort Study (MoBa). The focus of the project is to understand why some individuals with major depressive disorder experience more severe symptoms and outcomes than others, and to develop algorithms for identification of these individuals. The current project is part of a trans-Nordic big data collaboration including researchers from Denmark, Norway and Sweden using nation-wide registry data integrated with large-scale genetic data from biobanks. Continue reading
Please see below an exciting postdoc statistical genetics job opportunity with Marta di Forti working on genetic and epigenetic studies to dissect the role cannabis plays in psychosis.