Apply now to boost your scientific career at the Centre for Genomic Regulation (CRG) in Barcelona. The CRG is a centre of excellence with international teams representing a broad range of disciplines, with first-class core technologies to support the research projects, a wide range of seminars given by high-profile invited speakers, and courses on complementary and transferable skills integrated with the training programme.
The CRG PhD International call is now open!
There are 17 fellowships available and you need to apply through the Centre For Genomic Regulation (CRG) website - HERE
One of these positions can be found below:
Project Key Words
Evolutionary Medicine | Deep Learning | Rare Disease | Common Disease | Conservation Genomics | Bayesian Statistics | Generative Modelling | Variant Effect Prediction
The Probabilistic Machine Learning and Genomics Group, co-led by Mafalda Dias and Jonathan Frazer, develops models of the effect of genetic variation on the health of humans and other species. The primary goal is to develop tools which can aid in diagnosis, preventative care, and discovery of the genetic underpinnings of disease. We study the full spectrum of rare and common diseases and build models ranging in scale from single proteins to whole genomes. We are a 100% computational group using techniques from deep learning, Bayesian statistics, comparative genomics and population genetics.
Who are we looking for?
We are looking for someone who loves model building and is keen on studying disease from an evolutionary perspective. This position is part of a joint project in collaboration with the Transcriptomics of Vertebrate Development and Evolution Group, headed by Manuel Irimia. Experience in statistics, deep learning, or transcriptomics is desirable but not essential.