Mots-Clés

virtual reality, omics, molecules

Description

• Brief presentation of computational research carried out
• IBPC institute presentation video

Although this particular post-doctoral fellowship offer is not part of the Cofund fellowship scheme, the general informations about the institute and the research carried out are still relevant:

• Marina's post-doc experience in the lab
• Stepan's post-doc experience in the lab

You can find several videos related to the exceptional work environment at LBT/IBPC as well as testimonies from former fellows at the institute via the following links:

Work environment

• http://www.baaden.ibpc.fr
• http://unitymol.sourceforge.net

Websites:

HOW TO APPLY? go through the CNRS employment portal using the following link: https://bit.ly/31aXgJx

Team Leader: Marc Baaden - Follow @baam93 -  View Marc Baaden's profile

Salary: between 2,140 € and 3,954 € gross monthly according to experience / the candidate's CV (amount indicated is before tax)

Where? Laboratoire de Biochimie Théorique, Paris, France.

When? 18 monthsng ASAP

Executive summary:

Qualification and experience: A PhD or engineer degree in relevant fields (Computer Science, Visualization, Biophysics/Bioinformatics,..) and at least one publication in a peer reviewed journal or at a leading conference are required. The successful applicant should have excellent developer skills and a strong background in software development (graphics, shader programming, real time applications) with significant experience either in 3D visualization or in modelling, animation or game design software (Unity, Blender, Unreal). The candidate should also be familiar with at least one modern programming language. Evidence of the ability to undertake advanced software development is essential, as are good communication and organizational skills.

About the host institute: The "Institut de Biologie Physico-Chimique" was created in 1930 by the Foundation Edmond de Rothschild. It is associated with the CNRS (Centre National de la Recherche Scientifique), a leading international scientific institution offering an exceptional environment to scientists early in their career, with a dynamic international exposure animated by regular seminars and meetings.

Research facilities: This LBT CNRS research unit is located in central Paris and conducts research on scientific visualization and computational biology. LBT participates in Equipex and Labex excellence in science programs. As part of the CACSICE Equipex , the candidate will have access to a large high-resolution display wall.

Salary between 2,140 € and 3,954 € gross monthly according to experience

Context Most of the work will be carried out in the laboratory of Theoretical Biochemistry, a UPR 9080 unit of the CNRS led by Marc Baaden at the Institute of Physico-Chemical Biology in Paris, with regular exchanges with our partners at the University of Paris and Sorbonne University. Just over 29 people, including 15 statutory members, work in this laboratory, which is located in the heart of Latin Quarter. The project is led by Marc Baaden and Antoine Taly. The dual academic and industrial aspects are discussed. High quality material (virtual reality helmets, advanced display walls,...) will be provided. The work will be carried out in a multidisciplinary team.

• work in a team, especially in multi-laboratory collaboration
• organise and plan your work independently;
• present results in the form of clear and detailed scientific reports.

skills

• Design and implementation of scientific software.
• Software programming and technical skills to manage developments well (tools like git, doxygen,...).
• Information analysis and retrieval skills (keeping a lab notebook, preparing results tables, preparing oral presentations).
• Preparation of articles for publication in international peer-reviewed journals.

know-how

• General knowledge of the combination of computer science and biology (bioinformatics, biophysics or chemistry).
• In-depth knowledge of molecular modeling and / or scientific / molecular visualization.
• Proficiency in scientific English (reading and writing)
• Basic knowledge of virtual reality
• Experience with game engines and similar development environments is an advantage
• Knowledge in the field of omics is an advantage

Skills knowledge:

• Development of ideas and prototypes for the immersive study of redox networks and modified cysteine sites
• Development and implementation of this application in the UnityMol project, based on the Unity3D game engine.
• Application of the developed tool to concrete biological cases using the virtual reality material and the existing 3D image wall.
• write scientific articles for international peer-reviewed journals

Activities

[3] Martinez & Baaden, Acta Cryst D (2021), D77, 746-754 PDF VERSION

[2] Lv et al., PLOS One (2013), 8(3): e57990 PDF VERSION

[1] Maes et al., J Integrative Bioinformatics (2018) 15, 20180006 PDF VERSION

Some literature references linked to the project:

The LBT has developed original tools for visualization and analysis of protein structures, focusing on advanced environments such as virtual reality helmets and display walls. This project aims to apply and improve the Unitymol approach to computational analysis, visualization and modeling of redox signal networks. The aim of this project is to develop an interactive bioinformatics tool for the visualization of huge proteomic datasets of redox signaling networks. These will be made intelligible through a large and high-resolution visualization wall to analyze network dynamics, based on quantitative and time-resolved proteomic technology that allows detection of nitrosylation and glutathionylation. Structural interpretations will be enabled by an automated modeling pipeline linking to various human mitochondrial diseases. We are seeking a highly motivated candidate to develop and implement a next generation bioinformatics visualization platform. The candidate will develop a tool for modeling the 3D structure of all modified proteins of the target organism, the alga Chlamydomonas Reinhardtii. The generated data will be integrated into the visualization of the redox networks. We will achieve this through a graphical representation of the redox system and its evolution over time, with the ability to explore connections between different systems. The foundations for the project have already been laid (see e.g. UnityMol), so we have a well-defined framework to getd. This position is a unique training opportunity in a multidisciplinary environment that brings together several leading groups in academic research.

Project description

Post-doctorate in immersive scientific visualization of omic data. (M / F)