ArchiFun doctoral program will train 23 doctoral fellows in the following topics:
Host-pathogen interactions;
Mechanisms of bacterial resistance and cancer onsets;
Neurodegenerative and autoimmune diseases;
Translational research in prevalent diseases;
Physiology and ecology;
Neurosciences and cognition.
The program will expect to train 23 researchers highly competitive and creative in interdisciplinary fields:
biochemistry and biophysics
structural biologybasic and translational research
analytical, medicinal and supramolecular chemistry
bioinformatics and biotechnology
molecular, cellular and tissue biology
physiology and ecology
basic and translational research
Opening of the 3rdcall
Sep 10 2025
Deadline to apply
Nov 2 2025
Evaluation process
Nov 2025
Interview stage
Nov 2025
Start of fellowships
Jan 1 2026
The timeline is tentative. Please check here for updates.
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Development of Laser-generated Surface Acoustic Wave Immuno-sensors
Neurodegenerative and autoimmune diseases
Translational research in prevalent diseases
Université Lyon 1 - France
NanoVaccines: Synthesis of defined carbohydrate antigens and immunostimulants and vaccine design using synthetic outer membrane vesicles
Host-pathogen interactions
Translational research in prevalent diseases
Université Lyon 1 - France
Resolving the architecture of mRNA lipid nanoparticles through advanced NMR techniques
Translational research in prevalent diseases
Université Lyon 1 - France
Development of a microfluidic cancer cell sorter based on deformability
Translational research in prevalent diseases
Université Lyon 1 - France
Characterization of the mechanism of action of the NAP Lrp in the regulation of chromosomearchitecture and virulence gene expression in Dickeya dadantii
Mechanisms of bacterial resistance and cancer onsets
Host-pathogen interactions
Université Lyon 1 - France
Deciphering Fis-mediated genome architecture and xenogeneic regulation in Legionella neumophila
Host-pathogen interactions
Université Lyon 1 - France
Contribute to the development and optimization of a signal processing and AI algorithm for microwave imaging in the early detection of breast cancer