AFECT https://www.afect.fr/fr/annonces-afect 

Association Bernard Gregory https://www.abg.asso.fr/fr/ 

CCL http://ccl.net/chemistry/announcements/jobs/index.shtml 

CHARMM-GUI https://www.charmm-gui.org/?doc=jobs&view=list 

EMBRC https://www.embrc.eu/about-us/jobs  

GGMM https://ggmmfr.wordpress.com/offre-demploi/ 

Nature Careers https://www.nature.com/naturecareers/ 

Portail Emplois CNRS https://emploi.cnrs.fr/ 

ScholarshipDb https://scholarshipdb.net/scholarships

The Node https://thenode.biologists.com/jobs/  

Octobre 2026

THESIS FUNDING Application deadline in March!

IBMM's F13 team's research, Montpellier

Informations et description du poste : 

Do you have training in molecular modeling/peptide and protein structure ? Are you interested in testing AI methods in a team capable of experimentally verifying your hypotheses based on calculations?

The project is part of the IBMM's F13 team's research theme and aims to better understand the functioning of GPCRs (G protein-coupled receptors) at the molecular level. This thesis will be conducted in a multidisciplinary environment at the interface between modeling, chemistry, and biology. The thesis will aim to demonstrate the value of molecular dynamics for designing binders (peptides/proteins) targeting these receptors using AI, as well as for prioritizing their testing. Our main models will be the ghrelin and motilin receptors. The idea behind the project is to successfully design pharmacological agents that bind specifically to certain conformations of these receptors, but also to their various intracellular partners. Various pipelines based on molecular dynamics (all-atoms/coarse-grained) will be tested, and the most promising molecules will be tested and validated experimentally within our team.

You can apply here:

https://lnkd.in/e4jsUi5m

Please also send your CV/cover letter to nicolas.floquet[a]umontpellier.fr with the subject line “thesis application.”

Février 2026

A postdoc position at the team Structural Bioinformatics and Molecular Modelling, CNRS, Montpellier 

Centre de Recherche en Biologie cellulaire de Montpellier · Montpellier (France) 

Date de prise de poste : 16 février 2026

Key words: protein structure, algorithms, programming, amyloids, machine learning, protein aggregates, hereditary diseases

Description

We are seeking a high-level computer scientist with experience in bioinformatics, solid programming skills and knowledge in 3D protein structures. Machine learning skills and knowledge of Web development are a plus. Good interpersonal skills, ability of communication and documentation of the results are also important.

Our project aims to develop and integrate bioinformatics tools for predicting protein aggregation and co-aggregation, followed by large-scale screening of microbial proteomes against the human proteome.

This position is open for up to three years and funded by ANR project “Development of a computational approach to study the mechanisms of microbe-induced amyloidosis”.

We plan to hire a postdoc of typically less than 2 years after PhD defense. This position is open for 12 months with the possibility of a further two-year extension.

The researcher will benefit from an exceptional environment thanks to the presence of numerous leading international researchers. Montpellier is a nice city located in the South of France, just next to the French Mediterranean coast. It is a high-tech center with a range of specializations including but not limited to biology, health, agriculture, and information technology.

Send CV and motivation letter to Dr Andrey Kajava (andrey.kajava[at]crbm.cnrs.fr) 

Mars 2026

Post-doc position:  AI-Driven Multiscale Molecular Simulations to Unravel Protein Aggregation Mechanisms within Lipid Environments during Pathogenic Processes  

Molecular Modeling team, CBMN (Chemistry and Biology of membranes and nano-objects) UMR, CNRS, Bordeaux 

Informations et description du poste : 

The central aim of this project is to integrate all-atom and coarse-grained (Martini) molecular simulations with machine learning analysis to map how distinct lipid compositions influence protein oligomerization.

For instance, in the field of Alzheimer disease or antibtioc resistances, the aggregation of amyloid-β (Aβ) peptides and their interaction with neuronal membranes represent key molecular events. While amyloid fibrils have been widely characterized, the role of the lipid environment in modulating early aggregation, membrane insertion and toxicity remains poorly understood.

The project includes the development of a computational pipeline, incorporating feature extraction from trajectories, dimensionality reduction, clustering and predictive modelling, ultimately enabling the construction of an AI-assisted lipid risk score for amyloid toxicity. 

In the long term, this project will deliver unprecedented mechanistic insights into the role of lipids in pathogenic peptide aggregation processes, thereby paving the way for the development of innovative preventive strategies and therapeutic interventions.

Furthermore, the postdoctoral researcher will actively contribute to the design of short, research-driven teaching modules for undergraduate, master’s, and doctoral students, as well as for early-career researchers, leveraging their experimental data. This activity will highlight the added value of artificial intelligence in health research, particularly for elucidating pathophysiological mechanisms and accelerating the identification of therapeutic solutions.

We offer :

• A high-level interdisciplinary research environment at the interface of molecular simulation, AI and experimental data;

• Full-time 12-month postdoctoral position with possibility of extension depending on funding and scientific outcomes;

• Integration into an active collaborative network including computational, biophysicists and biological teams;

• Opportunities to develop training workshops for MSc/PhD students and researchers in AI-assisted molecular modelling;

Send CV and motivation letter to Pr Isabelle Bestel (isabelle.berque-bestel[at]u-bordeaux.fr) and Dr Nada taib (nada.taib-maamar[at]u-bordeaux.fr) 

Avril 2026

Post-doctorat en chimie organique Mise au point d’une méthode de radiomarquage TEP d’oligonucléotides thérapeutiques par chimie bioorthogonale

Equipe BIORAN (Biomarqueurs Radiopharmaceutiques et Neurochimiques) du Centre de Recherche en Neurosciences de Lyon (CRNL) | Localisation : plateforme d’imagerie CERMEP (Groupement Hospitalier Est, Bron)

Informations et description du poste : https://drive.google.com/file/d/1RvWj3PT67S_1ABx3PX3LsmBElQ33Ealt/view?usp=sharing

Candidature, date limite : 31/03/2026