Positions
Postdoc/PhD
If you are interested in our science and want to pursue a PhD or Postdoc in our lab, contact us using the form below.
Successful applicants are expected to have a training and research experience in biophysics, physics or/and cell biology, and express strong interest in working at the interface between these disciplines. Demonstrated ability to work in a collaborative, multi-disciplinary environment is essential. Interested applicants should email curriculum vitae, statement of research interests and names of three references to Dr. Marcelo Nollmann (marcelo.nollmann at cbs.cnrs.fr). Received applications will be reviewed immediately.
Successful applicants are expected to have a training and research experience in biophysics, physics or/and cell biology, and express strong interest in working at the interface between these disciplines. Demonstrated ability to work in a collaborative, multi-disciplinary environment is essential. Interested applicants should email curriculum vitae, statement of research interests and names of three references to Dr. Marcelo Nollmann (marcelo.nollmann at cbs.cnrs.fr). Received applications will be reviewed immediately.
Postdoc/PhD
cloudFISH: Engineer position
CloudFISH is a consortium grouping the labs of Marcelo Nollmann (CNRS Montpellier), Florian Mueller (Zimmer team, Pasteur Institute) and Thomas Walter (Mines Paristech). Our groups develop imaging-based technologies to visualize DNA and RNA with high spatial resolution, with the aim of understanding transcriptional regulation and genome organization. Our past developments include FISH-quant, a software package for the sub-cellular detection of RNAs from single molecule FISH images (Mueller, 2013), Hi-M, a multiplexed imaging-based method to trace chromatin architecture and transcriptional status in single cells (Cardozo, 2019), and deep learning-based approaches to identify mRNA localization patterns (Dubois, 2019). The aim of cloudFISH will be to build and deploy user-friendly, scalable tools to analyze multiplexed RNA-FISH and DNA-FISH data using deep learning approaches with remote computing servers.
We are looking for highly motivated candidates to fill a 2-yrs France BioImaging-funded engineer position to participate in the development of image analysis software within the cloudFISH project. The candidate will have expertise in Python programming. Experience with web programming, image analysis, deep learning frameworks, deployment of server applications with containers and Kubernetes will be an advantage but is not compulsory. Candidates are expected to express a strong interest in working at the interface between informatics with physics and biology.
Please visit our websites for further details: http://nollmannlab.org/ Imaging and Modelling | Computer Vision for Bioimage Analysis
Interested applicants should apply at https://bit.ly/3jCtTqK. Please include a CV with references, and your Github/Gitlab handle.
CloudFISH is a consortium grouping the labs of Marcelo Nollmann (CNRS Montpellier), Florian Mueller (Zimmer team, Pasteur Institute) and Thomas Walter (Mines Paristech). Our groups develop imaging-based technologies to visualize DNA and RNA with high spatial resolution, with the aim of understanding transcriptional regulation and genome organization. Our past developments include FISH-quant, a software package for the sub-cellular detection of RNAs from single molecule FISH images (Mueller, 2013), Hi-M, a multiplexed imaging-based method to trace chromatin architecture and transcriptional status in single cells (Cardozo, 2019), and deep learning-based approaches to identify mRNA localization patterns (Dubois, 2019). The aim of cloudFISH will be to build and deploy user-friendly, scalable tools to analyze multiplexed RNA-FISH and DNA-FISH data using deep learning approaches with remote computing servers.
We are looking for highly motivated candidates to fill a 2-yrs France BioImaging-funded engineer position to participate in the development of image analysis software within the cloudFISH project. The candidate will have expertise in Python programming. Experience with web programming, image analysis, deep learning frameworks, deployment of server applications with containers and Kubernetes will be an advantage but is not compulsory. Candidates are expected to express a strong interest in working at the interface between informatics with physics and biology.
Please visit our websites for further details: http://nollmannlab.org/ Imaging and Modelling | Computer Vision for Bioimage Analysis
Interested applicants should apply at https://bit.ly/3jCtTqK. Please include a CV with references, and your Github/Gitlab handle.