PhD Positions in Transcriptional Noise Research

il y a 1 mois


Montpellier, Occitanie, France France - BioImaging Temps plein
PhD Training Network on Transcriptional Noise

We are seeking highly motivated PhD students to join our training network on transcriptional noise in development and disease. Our research focuses on understanding the mechanisms and functions of transcriptional noise in two biological models: Drosophila embryos and HIV-1 latency.

Fellowship 1: Mathematical Modelling of HIV-1 Transcription

This project aims to decipher the contribution of extrinsic and intrinsic noise to HIV-1 transcriptional bursts. The PhD student will use single molecule methods to image transcriptional activity in live single cells and develop mathematical models to extract the contribution of extrinsic vs intrinsic factors.

Fellowship 2: Impact of Paused Polymerase on Transcriptional Noise

This project will investigate the impact of paused polymerase on transcriptional noise in Drosophila embryos. The PhD student will employ quantitative live imaging of transcription combined with mathematical approaches to detect each polymerase initiation event for each nucleus in vivo.

Fellowship 3: Impact of Chromatin Compaction on Transcription Noise

This project will explore the impact of local chromatin states on transcriptional noise in heterochromatic regions of Drosophila embryos. The PhD student will monitor nascent transcription of loci located in heterochromatin in live embryos and demonstrate a role of chromatin marks in transcription fluctuations.

Fellowship 4: Stochastic Transcriptional Bursting in Space and Time

This project will investigate the impact of pioneer factors on transcriptional bursting in single cells. The PhD student will employ quantitative live imaging of transcription combined with an innovative signal processing approach to position each single polymerase initiation event for each nucleus in vivo.

We offer a unique opportunity to work in a collaborative environment with experienced researchers and to develop skills in both wet and dry biological sciences. The training network will provide common activities, interdisciplinary training, and an environment uniting biologists and mathematicians.

Funding is provided for 3 years. The deadline for application is May 25th, 2020. Key words: transcription, imaging, quantitative biology, modeling, developmental biology, HIV-1, heterochromatin.



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