Interdisciplinary PhD candidate in Neuroscience and Bioinformatics for the study of brain dynamics, chronodisruption, and computational signatures of temporal environmental challenges (M/F)

Descrizione

Interdisciplinary PhD candidate in Neuroscience and Bioinformatics for the study of brain dynamics, chronodisruption, and computational signatures of temporal environmental challenges (M/F) Sintesi in italiano (traduzione automatica): Il progetto di dottorato si svolgerà presso l'Istituto di Neuroscienze Cellulari e Integrative (INCI), affiliato al CNRS. La sede è situata nel campus Esplanade, facilmente raggiungibile con i mezzi pubblici. Il candidato sarà supervisionato da esperti nel campo delle neuroscienze e dell'informatica, lavorando su esperimenti che studiano le dinamiche cerebrali e le interruzioni circadiane. Le principali mansioni includono la registrazione neuronale e l'analisi di dataset multimodali complessi, con un focus sull'uso di tecniche di machine learning. È richiesta una laurea in neuroscienze o un campo correlato. Il progetto mira a comprendere come le interruzioni del ritmo circadiano influenzano la funzione cerebrale e il comportamento, utilizzando modelli murini per simulare tali condizioni. The PhD project will be carried out at the Institute of Cellular and Integrative Neurosciences (INCI), which is affiliated with the CNRS Institute of Biological Sciences (INSB). INCI is located in the heart of the Esplanade campus, on a green and pleasant site that is easily accessible by public transportation. The host team is Team 7, Regulation and Disruption of Neuroendocrine Rhythms. The PhD project will be jointly supervised with the ICube laboratory, which is affiliated with the CNRS Institute for Information Sciences and their Interactions (INS2I), within the team Computer Science: Foundations of Computing, Algorithms, Representations and Data Exploitation. The INCI team specializes in circadian rhythms and has extensive expertise in the tools required for neuronal recordings and metabolic phenotyping, including fiber photometry, stereotaxic surgery, actimetry, and indirect calorimetry systems. The PhD candidate will be jointly supervised by Dr. Étienne Challet and Dr. Clémentine Fillinger. Experiments will be conducted at the Chronobiotron (UAR3415), a research facility dedicated to the study of biological rhythms, with support from the INCI in vivo signal analysis platform. The analysis of complex multimodal datasets will rely on a close collaboration with N. Lachiche (ICube), whose expertise lies in machine learning and temporal data analysis. The project will generate rich longitudinal datasets for the development and validation of these computational approaches, fostering a strong synergy between neuroscience and data science. Our biological 24-hour rhythms, synchronized by environmental cues, orchestrate brain function, metabolism, and behavior. Modern lifestyles, including light pollution, shift work, and irregular meal timing, disrupt these circadian rhythms and desynchronize internal clocks, leading to major health consequences that remain poorly understood at the brain level. This project aims to determine how such disruptions alter the dynamics and coordination of brain networks by experimentally reproducing them in mice. We will monitor neuronal activity across several key brain regions involved in coordinating metabolic functions and behavior. The integrated analysis of these datasets, particularly through artificial intelligence approaches, will enable the identification of neural signatures of circadian desynchronization and the assessment of the capacity of these networks to resynchronize following a return to normal conditions. Ultimately, this work will provide a dynamic understanding of how modern lifestyle-induced circadian disruptions impact brain function. Annuncio in inglese. Fonte: Euraxess (Commissione europea).