Both candidates will be cross-trained across humans, animals, and plants using various types of genetics and "other omics" data, with the goal of methodological translation across phyla. Our emails are in the job ad, so reach out with any questions!
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The other candidate should have expertise in animal/plant genomics and data and will be housed in the Purdue College of Agriculture and mentored by Luiz Brito and Mitch Tuinstra
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One candidate should have expertise in human genomics and data and will be housed in the Purdue College of Liberal Arts/Purdue College of Science and mentored by Matt Tegtmeyer and myself
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Post Doctoral Research Associate
Post Doctoral Research Associate
π¨Attention Statistical, computational, quantitative trait, population geneticists/genomicists: From the
@LifeAtPurdue
Life Sciences Summit last fall, we are hiring two 3-year postdocs to work on using across-phyla methods to increase genomic prediction
careers.purdue.edu/job-invite/2...
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I just finished a semester of teaching 250 upper-level undergraduate students how to push back against genetic essentialism using real genetic science on human variation to take down these dangerous and incorrect misuses/misinterpretations... I've never been prouder or more inspired as a teacher β€οΈ
12.12.2023 16:09 β π 7 π 0 π¬ 0 π 0
Exec Director of @odissei.bsky.social and Associate Professor of Sociology, @erc.europa.eu StG. Co-Director of @ipdln.bsky.social & Social Science Lead at the PDPC (https://edu.nl/hr9eh). See https://tomemery.eu/ for more detail
Comparative Life Course & Inequality Research Centre at the European University Institute
Master procrastinator. UiO wage slave as sociology professor.
PhD from @eui-eu.bsky.social (Digital) inequality, social class, economic sociology, aging, quality of life, sustainable development, quantitative methods, history, LGBTQ issues. Personal account & private opinions
Developmental psychologist at QMUL. Director of the Cognition, Development and Education research lab (http://codelab.science). Mum of 2. She/her
Senior research fellow @ UCL
https://profiles.ucl.ac.uk/80153-andrea-allegrini
Genetics - Statistics - Psychiatry.
Depression pharmacogenetics.
SGDP Centre, Kingβs College London. Psychiatric Genomics Consortium.
Sociologist for children and social equality.
Postdoc at University of Bologna (GENPOP) & previously PhD at the EUI.
https://gaiaghirardi.github.io
Assistant professor in Psychiatry at WUSM. Interested in behavioral, psychiatric, and population genetics. she/her
Independent bioinformatics scientist in San Diego, CA (www.jenniferfouquier.com); EXPLANA (www.explana.io); Alum, Lozupone Lab at CU Anschutz. Also traveler, hiker, & big (er..small) foodie. #bioinformatics #microbiome #firstgen
I'm a sociologist working at the Center for Research in Economics and Statistics (CREST)
I also have a website: patrickpraeg.com
Postdoctoral fellow at PROMENTA, University of Oslo.
Genetics β Intergenerational Transmission of Inequalities β Mental Health β Education
https://perlinedemange.github.io/
Assoc Prof Pop Data Science/Sociology at CLScohorts/UCL/PurdueSociology | NuffieldCollege | PI of FINDME | book: http://shorturl.at/imP58
Behavior genetics, clinical psychology, Mets. Occasional politics.
Substack (free): https://ericturkheimer.substack.com/
Book Is Out! Understanding the Nature-Nurture Debate
https://shorturl.at/Ce2hf
Electronic Version: https://shorturl.at/Fq2jv
Associate Prof Leiden Uni. Studying mental health problems as systems. http://eiko-fried.com. Building an early warning system for depression at http://WARN-D.com.
Associate Prof in health data science @HiLIFE_helsinki @FIMM_UH - MGH/Harvard - Playing with all kind of data - http://dsgelab.org
Interested in how the rich stay rich and the poor poor. Sociologist at @sriucl.bsky.social @ucl.ac.uk. He/him/his. http://perengzell.com Photo bomber @simoneschneider.bsky.social
Professor of Genetic Epidemiology, University of Bristol at: uob-ieu@bsky.social
Assistant Professor at CU Boulder interested in multivariate genomic methods development and their application to understanding shared and unique signal across human disease and risk factors.